SlideShare une entreprise Scribd logo
1  sur  18
BY:
NIKHIL MATHUR
TRAFFIC
ASSIGNMENT
Traffic assignment models are used to estimate the traffic flows on a network.
These models take as input a matrix of flows that indicate the volume of traffic
between origin and destination (O-D) pairs.They also take input on the network
topology, link characteristics, and link performance functions.The flows for each
O-D pair are loaded onto the network based on the travel time or impedance of
the alternative paths that could carry this traffic.
Traffic assignment is a key element in the urban travel demand forecasting
process.The traffic assignment model predicts the network flows that are
associated with future planning scenarios, and generates estimates of the link
travel times and related attributes that are the basis for benefits estimation and
air quality impacts.The traffic assignment model is also used to generate the
estimates of network performance that are used in the mode choice and trip
distribution or destination choice stages of many models.
WHAT IS TRAFFIC ASSIGNMENT?
Aims ofTraffic Assignment procedures
1. To estimate the volume of traffic on the links of the network and
possibly the turning movements at intersections.
2. To furnish estimates of travel costs between trip origins and
destinations for use in trip distribution.
3. To obtain aggregate network measures, e.g. total vehicular flows,
total distance covered by the vehicle, total system travel time.
4. To estimate zone-to-zone travel costs(times) for a given level of
demand.
5. To obtain reasonable link flows and to identify heavily congested
links.
6. To estimate the routes used between each origin to destination(O-
D) pair.
7. To analyse which O-D pairs that uses a particular link or path.
8. To obtain turning movements for the design of future junctions.
TYPES OF
TRAFFIC
ASSIGNMENT :
1. All-or-nothing assignment
• In this method the trips from any origin zone to any destination zone are loaded
onto a single, minimum cost, path between them. This model is unrealistic as
only one path between every O-D pair is utilised even if there is another path with
the same or nearly same travel cost.
• Also, traffic on links is assigned without consideration of whether or not there is
adequate capacity or heavy congestion; travel time is a fixed input and does not
vary depending on the congestion on a link.
• However, this model may be reasonable in sparse and uncongested networks
where there are few alternative routes and they have a large difference in travel
cost.
• This model may also be used to identify the desired path : the path which the
drivers would like to travel in the absence of congestion.
•It has a limitation that it ignores the fact that link travel time is a function of link
volume and when there is congestion or that multiple paths are used to carry
traffic.
Example :
To demonstrate how this assignment works, an example network is considered.
This network has two nodes having two paths as links. Let us suppose a case
where travel time is not a function of flow as shown in other words it is constant
as shown in the figure below.
Solution
The travel time functions for both the links is given by: t1 = 10 t2 = 15
and total flows from 1 to 2 is given by. q12 = 12
Since the shortest path is Link 1 all flows are assigned to it making
x1 =12 and x2 = 0.
2. User equilibrium assignment (UE)
The user equilibrium assignment is based on Wardrop’s first principle, which states that
no driver can unilaterally reduce his/her travel costs by shifting to another route. User
Equilibrium (UE) conditions can be written for a given O-D pair as:
fk(ck − u) = 0 : ∀k < 10.1>
ck − u >= 0 : ∀k < 10.2>
where fk is the flow on path k, ck is the travel cost on path k, and u is the minimum
cost.
Equation labelqueue2 can have two states.
1. If ck − u = 0, from equation 10.1 fk ≥ 0.This means that all used paths will have same
travel time.
2. If ck − u ≥ 0, then from equation 10.1 fk = 0.
This means that all unused paths will have travel time greater than the minimum cost
path. where fk is the flow on path k, ck is the travel cost on path k, and u is the
minimum cost. Assumptions in User EquilibriumAssignment
1.The user has perfect knowledge of the path cost.
2.Travel time on a given link is a function of the flow on that link only.
3.Travel time functions are positive and increasing.
The solution to the above equilibrium conditions given by the solution of an equivalent
nonlinear mathematical optimization program,
These constraints naturally hold the point that minimizes the objective function.
These equations state user equilibrium principle.
The path connecting O-D pair can be divided into two categories : those carrying the
flow and those not carrying the flow on which the travel time is greater than (or equal
to)the minimum O-D travel time. If the flow pattern satisfies these equations no
motorist can better off by unilaterally changing routes. All other routes have either
equal or heavy travel times.
The user equilibrium criteria is thus met for every O-D pair.The UE problem is convex
because the link travel time functions are monotonically increasing function, and the
link travel time a particular link is independent of the flow and other links of the
networks.To solve such convex problem Frank Wolfe algorithm is useful.
3. System Optimum Assignment (SO)
The system optimum assignment is based on Wardrop’s second principle, which states
that drivers cooperate with one another in order to minimize total system travel time.This
assignment can be thought of as a model in which congestion is minimized when drivers
are told which routes to use. Obviously, this is not a behaviorally realistic model, but it can
be useful to transport planners and engineers, trying to manage the traffic to minimize
travel costs and therefore achieve an optimum social equilibrium.
Differentiate the above equation to zero, and solving for x1 and then x2 leads
to the solution
x1 = 5.3, x2= 6.7 which gives
Z(x) = 327.55
Other assignment methods
1. Incremental assignment :
Incremental assignment is a process in which fractions of traffic volumes are assigned in
steps.In each step, a fixed proportion of total demand is assigned, based on all-or-
nothing assignment.After each step, link travel times are recalculated based on link
volumes.When there are many increments used, the flows may resemble an equilibrium
assignment ; however, this method does not yield an equilibrium solution.
Consequently, there will be inconsistencies between link volumes and travel times that
can lead to errors in evaluation measures. Also, incremental assignment is influenced by
the order in which volumes for O-D pairs are assigned, raising the possibility of
additional bias in results.
2. Capacity restraint assignment :
Capacity restraint assignment attempts to approximate an equilibrium solution by
iterating between all-ornothing traffic loadings and recalculating link travel times based
on a congestion function that reflects link capacity. Unfortunately, this method does not
converge and can flip-flop back and forth in loadings on some links.
TransCAD SOFTWARE provides the widest array of traffic assignment
procedures that can be used for modeling urban traffic.These procedures
include numerous variants that can be used for modeling intercity passenger
and freight traffic.
TransCAD is the first and onlyGeographic Information System (GIS) designed
specifically for use by transportation professionals to store, display, manage,
and analyze transportation data.TransCAD combines GIS and transportation
modeling capabilities in a single integrated platform, providing capabilities
that are unmatched by any other package.TransCAD can be used for all modes
of transportation, at any scale or level of detail.TransCAD provides:
1. A powerful GIS engine with special extensions for transportation
2. Mapping, visualization, and analysis tools designed for transportation
applications
3. Application modules for routing, travel demand forecasting, public transit,
logistics, site location, and territory management.
Traffic assignment Software :
TransCAD
A Powerful GIS forTransportation
• TransCAD is a state-of-the-art GIS that you can use to create and customize maps,
build and maintain geographic data sets, and perform many different types of spatial
analysis.
• TransCAD is the only software package that fully integrates GIS with demand modeling
and logistics functionality.This makes it possible for models to be much more accurate
and efficient.
• InTransCAD, different modeling equations can easily be derived and applied for
different geographic subareas. Similarly,TransCAD brings new and much-needed
capabilities for measuring geographic accessibility.The GIS approach also provides a
graphical solution that is easily understood.
• TransCAD extends the traditional GIS data model to include transportation data
objects such as transportation networks, matrices, routes systems, and linear-referenced
data.These extensions makeTransCAD the best data management and analysis tool for
working with transportation data.You can use the GIS functions to prepare, visualize,
analyze, and present your work, and use the application modules to solve transportation
problems with greater ease and efficiency than with any other product. Networks and
matrices can be of virtually unlimited size.
Networks:
Transportation networks are specialized data structures
that govern flow over a network. Networks are stored in a
highly-efficient way, enablingTransCAD to solve routing
problems very quickly. Networks can include detailed
characteristics such as:
1. Turn delays or restrictions
2. Overpasses, underpasses, and one-way links
3. Intersection and junction attributes
4. Intermodal or interline terminals, transfer points, and
delay functions
5. Zonal centroid connectors
6. Link classifications and performance functions
7. Transit access, egress, and walk transfer links
Matrices:
Matrices hold data such as distance, travel times, and origin-
destination flows that are essential for many transportation
applications.TransCAD provides functions for creating and
manipulating matrices, and tools for spatial analysis and advanced
visualization of matrix data.This combination lets you see and
understand transportation flows and network characteristics in
new and different ways
Routes & Route Systems:
Routes indicate paths taken by trucks, rail, cars, buses, or individuals
traveling from place to place.TransCAD includes tools to create,
display, edit, and manipulate routes, and unique display technology
for mapping routes in a clear and compelling fashion.You can
organize a set of related routes into a single route system layer, and
include route attributes, stop locations, and vehicle schedules.
Linear Referencing:
TransCAD allows you to identify the location of transportation
features as a distance from a fixed point along a route.TransCAD
can display and analyze these data sets without conversion, and
includes dynamic segmentation functions to merge and analyze
multiple linear-referenced data sets.This makesTransCAD a
natural choice for:
1. Facility infrastructure and operations data
2. Accident locations
3. Pavement or rail condition ratings
4. Traffic flows and transit ridership data
5. Facility alignments
6. Capital project data
THANK YOU

Contenu connexe

Tendances

O and d study
O and d studyO and d study
O and d studymeetmksvs
 
Lect 28-traffic intersections
Lect 28-traffic intersectionsLect 28-traffic intersections
Lect 28-traffic intersectionsHamidullahFarhang
 
3-Trip Generation-Distribution ( Transportation and Traffic Engineering Dr. S...
3-Trip Generation-Distribution ( Transportation and Traffic Engineering Dr. S...3-Trip Generation-Distribution ( Transportation and Traffic Engineering Dr. S...
3-Trip Generation-Distribution ( Transportation and Traffic Engineering Dr. S...Hossam Shafiq I
 
Chapter 3&amp;4
Chapter 3&amp;4Chapter 3&amp;4
Chapter 3&amp;4EWIT
 
Origin – Destination survey
Origin – Destination surveyOrigin – Destination survey
Origin – Destination surveykezangkl11
 
INTERSECTIONS IN TRAFFIC ENGINEERING
INTERSECTIONS IN TRAFFIC ENGINEERINGINTERSECTIONS IN TRAFFIC ENGINEERING
INTERSECTIONS IN TRAFFIC ENGINEERINGjagadeesh prasad
 
Transportation Planning & Travel Demand Forecasting (Transportation Engineering)
Transportation Planning & Travel Demand Forecasting (Transportation Engineering)Transportation Planning & Travel Demand Forecasting (Transportation Engineering)
Transportation Planning & Travel Demand Forecasting (Transportation Engineering)Hossam Shafiq I
 
Chapter 2 traffic studies
Chapter 2 traffic studiesChapter 2 traffic studies
Chapter 2 traffic studiesAnkit Patel
 
TRANSPORTATION PLANNING
TRANSPORTATION PLANNINGTRANSPORTATION PLANNING
TRANSPORTATION PLANNINGintan fatihah
 
Highway engineering section 1
Highway engineering section 1Highway engineering section 1
Highway engineering section 1vhjadhav
 
Traffic studies volume study
Traffic studies volume studyTraffic studies volume study
Traffic studies volume studyAglaia Connect
 
Traffic Volume Studies
Traffic Volume StudiesTraffic Volume Studies
Traffic Volume StudiesMd Tanvir Alam
 
Types of intersection of road and design parameters of road intersection
Types of intersection of road and design parameters of road intersectionTypes of intersection of road and design parameters of road intersection
Types of intersection of road and design parameters of road intersectionwaiseee
 

Tendances (20)

O and d study
O and d studyO and d study
O and d study
 
Trip generation
Trip generation Trip generation
Trip generation
 
Intersection,types
Intersection,typesIntersection,types
Intersection,types
 
Lect 28-traffic intersections
Lect 28-traffic intersectionsLect 28-traffic intersections
Lect 28-traffic intersections
 
3-Trip Generation-Distribution ( Transportation and Traffic Engineering Dr. S...
3-Trip Generation-Distribution ( Transportation and Traffic Engineering Dr. S...3-Trip Generation-Distribution ( Transportation and Traffic Engineering Dr. S...
3-Trip Generation-Distribution ( Transportation and Traffic Engineering Dr. S...
 
Chapter 3&amp;4
Chapter 3&amp;4Chapter 3&amp;4
Chapter 3&amp;4
 
Parking study
Parking studyParking study
Parking study
 
Origin – Destination survey
Origin – Destination surveyOrigin – Destination survey
Origin – Destination survey
 
INTERSECTIONS IN TRAFFIC ENGINEERING
INTERSECTIONS IN TRAFFIC ENGINEERINGINTERSECTIONS IN TRAFFIC ENGINEERING
INTERSECTIONS IN TRAFFIC ENGINEERING
 
Transportation Planning & Travel Demand Forecasting (Transportation Engineering)
Transportation Planning & Travel Demand Forecasting (Transportation Engineering)Transportation Planning & Travel Demand Forecasting (Transportation Engineering)
Transportation Planning & Travel Demand Forecasting (Transportation Engineering)
 
Highway Alignment
Highway AlignmentHighway Alignment
Highway Alignment
 
Chapter 2 traffic studies
Chapter 2 traffic studiesChapter 2 traffic studies
Chapter 2 traffic studies
 
Capacity at intersection
Capacity at intersectionCapacity at intersection
Capacity at intersection
 
TRANSPORTATION PLANNING
TRANSPORTATION PLANNINGTRANSPORTATION PLANNING
TRANSPORTATION PLANNING
 
Highway engineering section 1
Highway engineering section 1Highway engineering section 1
Highway engineering section 1
 
Traffic engineering
Traffic engineeringTraffic engineering
Traffic engineering
 
Traffic studies volume study
Traffic studies volume studyTraffic studies volume study
Traffic studies volume study
 
Traffic Volume Studies
Traffic Volume StudiesTraffic Volume Studies
Traffic Volume Studies
 
Traffic engineering
Traffic engineeringTraffic engineering
Traffic engineering
 
Types of intersection of road and design parameters of road intersection
Types of intersection of road and design parameters of road intersectionTypes of intersection of road and design parameters of road intersection
Types of intersection of road and design parameters of road intersection
 

Similaire à Traffic assignment

A Computational Study Of Traffic Assignment Algorithms
A Computational Study Of Traffic Assignment AlgorithmsA Computational Study Of Traffic Assignment Algorithms
A Computational Study Of Traffic Assignment AlgorithmsNicole Adams
 
A Computational Study Of Traffic Assignment Algorithms
A Computational Study Of Traffic Assignment AlgorithmsA Computational Study Of Traffic Assignment Algorithms
A Computational Study Of Traffic Assignment AlgorithmsAlicia Buske
 
A Model For The Dynamic System Optimum Traffic Assignment Problem
A Model For The Dynamic System Optimum Traffic Assignment ProblemA Model For The Dynamic System Optimum Traffic Assignment Problem
A Model For The Dynamic System Optimum Traffic Assignment ProblemSean Flores
 
A new approach in position-based routing Protocol using learning automata for...
A new approach in position-based routing Protocol using learning automata for...A new approach in position-based routing Protocol using learning automata for...
A new approach in position-based routing Protocol using learning automata for...ijasa
 
A Frequency Based Transit Assignment Model That Considers Online Information ...
A Frequency Based Transit Assignment Model That Considers Online Information ...A Frequency Based Transit Assignment Model That Considers Online Information ...
A Frequency Based Transit Assignment Model That Considers Online Information ...Scott Faria
 
International Journal of Computational Engineering Research (IJCER)
International Journal of Computational Engineering Research (IJCER) International Journal of Computational Engineering Research (IJCER)
International Journal of Computational Engineering Research (IJCER) ijceronline
 
A Simulation-Based Dynamic Traffic Assignment Model With Combined Modes
A Simulation-Based Dynamic Traffic Assignment Model With Combined ModesA Simulation-Based Dynamic Traffic Assignment Model With Combined Modes
A Simulation-Based Dynamic Traffic Assignment Model With Combined ModesAllison Koehn
 
An Efficient System for Traffic Control in Networks Using Virtual Routing Top...
An Efficient System for Traffic Control in Networks Using Virtual Routing Top...An Efficient System for Traffic Control in Networks Using Virtual Routing Top...
An Efficient System for Traffic Control in Networks Using Virtual Routing Top...IJMER
 
Effect of mobility models on the performance of multipath routing protocol in...
Effect of mobility models on the performance of multipath routing protocol in...Effect of mobility models on the performance of multipath routing protocol in...
Effect of mobility models on the performance of multipath routing protocol in...csandit
 
STUDY OF THE EFFECT OF VELOCITY ON END-TOEND DELAY FOR V2V COMMUNICATION IN ITS
STUDY OF THE EFFECT OF VELOCITY ON END-TOEND DELAY FOR V2V COMMUNICATION IN ITSSTUDY OF THE EFFECT OF VELOCITY ON END-TOEND DELAY FOR V2V COMMUNICATION IN ITS
STUDY OF THE EFFECT OF VELOCITY ON END-TOEND DELAY FOR V2V COMMUNICATION IN ITSijngnjournal
 
Efficient Load Balancing Routing in Wireless Mesh Networks
Efficient Load Balancing Routing in Wireless Mesh NetworksEfficient Load Balancing Routing in Wireless Mesh Networks
Efficient Load Balancing Routing in Wireless Mesh Networksijceronline
 
Network analysis in gis , part 4 transportation networks
Network analysis in gis , part 4 transportation networksNetwork analysis in gis , part 4 transportation networks
Network analysis in gis , part 4 transportation networksDepartment of Applied Geology
 
A Gradient Projection Algorithm For Side-Constrained Traffic Assignment
A Gradient Projection Algorithm For Side-Constrained Traffic AssignmentA Gradient Projection Algorithm For Side-Constrained Traffic Assignment
A Gradient Projection Algorithm For Side-Constrained Traffic AssignmentLori Moore
 
NS2 IEEE Projects @ HCL Velachery
NS2 IEEE Projects @ HCL VelacheryNS2 IEEE Projects @ HCL Velachery
NS2 IEEE Projects @ HCL VelacherySenthilvel S
 
Dispatching taxi cabs with passenger pool
Dispatching taxi cabs with passenger poolDispatching taxi cabs with passenger pool
Dispatching taxi cabs with passenger poolBogusz Jelinski
 
A Systematic Review on Routing Protocols for VANETs
A Systematic Review on Routing Protocols for VANETsA Systematic Review on Routing Protocols for VANETs
A Systematic Review on Routing Protocols for VANETsIRJET Journal
 
An Improved Greedy Parameter Stateless Routing in Vehicular Ad Hoc Network
An Improved Greedy Parameter Stateless Routing in Vehicular Ad Hoc NetworkAn Improved Greedy Parameter Stateless Routing in Vehicular Ad Hoc Network
An Improved Greedy Parameter Stateless Routing in Vehicular Ad Hoc NetworkIJAAS Team
 
DISTRIBUTED TRAFFIC BY LOAD-BALANCING APPROACH FOR AOMDV IN AD-HOC NETWORKS
DISTRIBUTED TRAFFIC BY LOAD-BALANCING APPROACH FOR AOMDV IN AD-HOC NETWORKSDISTRIBUTED TRAFFIC BY LOAD-BALANCING APPROACH FOR AOMDV IN AD-HOC NETWORKS
DISTRIBUTED TRAFFIC BY LOAD-BALANCING APPROACH FOR AOMDV IN AD-HOC NETWORKScscpconf
 

Similaire à Traffic assignment (20)

A Computational Study Of Traffic Assignment Algorithms
A Computational Study Of Traffic Assignment AlgorithmsA Computational Study Of Traffic Assignment Algorithms
A Computational Study Of Traffic Assignment Algorithms
 
A Computational Study Of Traffic Assignment Algorithms
A Computational Study Of Traffic Assignment AlgorithmsA Computational Study Of Traffic Assignment Algorithms
A Computational Study Of Traffic Assignment Algorithms
 
A Model For The Dynamic System Optimum Traffic Assignment Problem
A Model For The Dynamic System Optimum Traffic Assignment ProblemA Model For The Dynamic System Optimum Traffic Assignment Problem
A Model For The Dynamic System Optimum Traffic Assignment Problem
 
A new approach in position-based routing Protocol using learning automata for...
A new approach in position-based routing Protocol using learning automata for...A new approach in position-based routing Protocol using learning automata for...
A new approach in position-based routing Protocol using learning automata for...
 
A Frequency Based Transit Assignment Model That Considers Online Information ...
A Frequency Based Transit Assignment Model That Considers Online Information ...A Frequency Based Transit Assignment Model That Considers Online Information ...
A Frequency Based Transit Assignment Model That Considers Online Information ...
 
International Journal of Computational Engineering Research (IJCER)
International Journal of Computational Engineering Research (IJCER) International Journal of Computational Engineering Research (IJCER)
International Journal of Computational Engineering Research (IJCER)
 
A Simulation-Based Dynamic Traffic Assignment Model With Combined Modes
A Simulation-Based Dynamic Traffic Assignment Model With Combined ModesA Simulation-Based Dynamic Traffic Assignment Model With Combined Modes
A Simulation-Based Dynamic Traffic Assignment Model With Combined Modes
 
An Efficient System for Traffic Control in Networks Using Virtual Routing Top...
An Efficient System for Traffic Control in Networks Using Virtual Routing Top...An Efficient System for Traffic Control in Networks Using Virtual Routing Top...
An Efficient System for Traffic Control in Networks Using Virtual Routing Top...
 
Effect of mobility models on the performance of multipath routing protocol in...
Effect of mobility models on the performance of multipath routing protocol in...Effect of mobility models on the performance of multipath routing protocol in...
Effect of mobility models on the performance of multipath routing protocol in...
 
STUDY OF THE EFFECT OF VELOCITY ON END-TOEND DELAY FOR V2V COMMUNICATION IN ITS
STUDY OF THE EFFECT OF VELOCITY ON END-TOEND DELAY FOR V2V COMMUNICATION IN ITSSTUDY OF THE EFFECT OF VELOCITY ON END-TOEND DELAY FOR V2V COMMUNICATION IN ITS
STUDY OF THE EFFECT OF VELOCITY ON END-TOEND DELAY FOR V2V COMMUNICATION IN ITS
 
Efficient Load Balancing Routing in Wireless Mesh Networks
Efficient Load Balancing Routing in Wireless Mesh NetworksEfficient Load Balancing Routing in Wireless Mesh Networks
Efficient Load Balancing Routing in Wireless Mesh Networks
 
G04122038042
G04122038042G04122038042
G04122038042
 
Network analysis in gis , part 4 transportation networks
Network analysis in gis , part 4 transportation networksNetwork analysis in gis , part 4 transportation networks
Network analysis in gis , part 4 transportation networks
 
A Gradient Projection Algorithm For Side-Constrained Traffic Assignment
A Gradient Projection Algorithm For Side-Constrained Traffic AssignmentA Gradient Projection Algorithm For Side-Constrained Traffic Assignment
A Gradient Projection Algorithm For Side-Constrained Traffic Assignment
 
NS2 IEEE Projects @ HCL Velachery
NS2 IEEE Projects @ HCL VelacheryNS2 IEEE Projects @ HCL Velachery
NS2 IEEE Projects @ HCL Velachery
 
H0343059064
H0343059064H0343059064
H0343059064
 
Dispatching taxi cabs with passenger pool
Dispatching taxi cabs with passenger poolDispatching taxi cabs with passenger pool
Dispatching taxi cabs with passenger pool
 
A Systematic Review on Routing Protocols for VANETs
A Systematic Review on Routing Protocols for VANETsA Systematic Review on Routing Protocols for VANETs
A Systematic Review on Routing Protocols for VANETs
 
An Improved Greedy Parameter Stateless Routing in Vehicular Ad Hoc Network
An Improved Greedy Parameter Stateless Routing in Vehicular Ad Hoc NetworkAn Improved Greedy Parameter Stateless Routing in Vehicular Ad Hoc Network
An Improved Greedy Parameter Stateless Routing in Vehicular Ad Hoc Network
 
DISTRIBUTED TRAFFIC BY LOAD-BALANCING APPROACH FOR AOMDV IN AD-HOC NETWORKS
DISTRIBUTED TRAFFIC BY LOAD-BALANCING APPROACH FOR AOMDV IN AD-HOC NETWORKSDISTRIBUTED TRAFFIC BY LOAD-BALANCING APPROACH FOR AOMDV IN AD-HOC NETWORKS
DISTRIBUTED TRAFFIC BY LOAD-BALANCING APPROACH FOR AOMDV IN AD-HOC NETWORKS
 

Dernier

Thermal Engineering Unit - I & II . ppt
Thermal Engineering  Unit - I & II . pptThermal Engineering  Unit - I & II . ppt
Thermal Engineering Unit - I & II . pptDineshKumar4165
 
Thermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.pptThermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.pptDineshKumar4165
 
University management System project report..pdf
University management System project report..pdfUniversity management System project report..pdf
University management System project report..pdfKamal Acharya
 
Design For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the startDesign For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the startQuintin Balsdon
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756dollysharma2066
 
Introduction to Serverless with AWS Lambda
Introduction to Serverless with AWS LambdaIntroduction to Serverless with AWS Lambda
Introduction to Serverless with AWS LambdaOmar Fathy
 
Double Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torqueDouble Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torqueBhangaleSonal
 
Bhosari ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For ...
Bhosari ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For ...Bhosari ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For ...
Bhosari ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For ...tanu pandey
 
Top Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoor
Top Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoorTop Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoor
Top Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoordharasingh5698
 
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...Arindam Chakraborty, Ph.D., P.E. (CA, TX)
 
2016EF22_0 solar project report rooftop projects
2016EF22_0 solar project report rooftop projects2016EF22_0 solar project report rooftop projects
2016EF22_0 solar project report rooftop projectssmsksolar
 
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdfONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdfKamal Acharya
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXssuser89054b
 
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night StandCall Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Standamitlee9823
 
VIP Call Girls Palanpur 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Palanpur 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Palanpur 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Palanpur 7001035870 Whatsapp Number, 24/07 Bookingdharasingh5698
 

Dernier (20)

Thermal Engineering Unit - I & II . ppt
Thermal Engineering  Unit - I & II . pptThermal Engineering  Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
 
Thermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.pptThermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.ppt
 
Call Now ≽ 9953056974 ≼🔝 Call Girls In New Ashok Nagar ≼🔝 Delhi door step de...
Call Now ≽ 9953056974 ≼🔝 Call Girls In New Ashok Nagar  ≼🔝 Delhi door step de...Call Now ≽ 9953056974 ≼🔝 Call Girls In New Ashok Nagar  ≼🔝 Delhi door step de...
Call Now ≽ 9953056974 ≼🔝 Call Girls In New Ashok Nagar ≼🔝 Delhi door step de...
 
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced LoadsFEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
 
University management System project report..pdf
University management System project report..pdfUniversity management System project report..pdf
University management System project report..pdf
 
Design For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the startDesign For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the start
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
 
Call Girls in Ramesh Nagar Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
Call Girls in Ramesh Nagar Delhi 💯 Call Us 🔝9953056974 🔝 Escort ServiceCall Girls in Ramesh Nagar Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
Call Girls in Ramesh Nagar Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
 
(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7
(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7
(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7
 
Introduction to Serverless with AWS Lambda
Introduction to Serverless with AWS LambdaIntroduction to Serverless with AWS Lambda
Introduction to Serverless with AWS Lambda
 
Double Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torqueDouble Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torque
 
Water Industry Process Automation & Control Monthly - April 2024
Water Industry Process Automation & Control Monthly - April 2024Water Industry Process Automation & Control Monthly - April 2024
Water Industry Process Automation & Control Monthly - April 2024
 
Bhosari ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For ...
Bhosari ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For ...Bhosari ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For ...
Bhosari ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For ...
 
Top Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoor
Top Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoorTop Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoor
Top Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoor
 
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
 
2016EF22_0 solar project report rooftop projects
2016EF22_0 solar project report rooftop projects2016EF22_0 solar project report rooftop projects
2016EF22_0 solar project report rooftop projects
 
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdfONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
 
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night StandCall Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Stand
 
VIP Call Girls Palanpur 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Palanpur 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Palanpur 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Palanpur 7001035870 Whatsapp Number, 24/07 Booking
 

Traffic assignment

  • 2. Traffic assignment models are used to estimate the traffic flows on a network. These models take as input a matrix of flows that indicate the volume of traffic between origin and destination (O-D) pairs.They also take input on the network topology, link characteristics, and link performance functions.The flows for each O-D pair are loaded onto the network based on the travel time or impedance of the alternative paths that could carry this traffic. Traffic assignment is a key element in the urban travel demand forecasting process.The traffic assignment model predicts the network flows that are associated with future planning scenarios, and generates estimates of the link travel times and related attributes that are the basis for benefits estimation and air quality impacts.The traffic assignment model is also used to generate the estimates of network performance that are used in the mode choice and trip distribution or destination choice stages of many models. WHAT IS TRAFFIC ASSIGNMENT?
  • 3. Aims ofTraffic Assignment procedures 1. To estimate the volume of traffic on the links of the network and possibly the turning movements at intersections. 2. To furnish estimates of travel costs between trip origins and destinations for use in trip distribution. 3. To obtain aggregate network measures, e.g. total vehicular flows, total distance covered by the vehicle, total system travel time. 4. To estimate zone-to-zone travel costs(times) for a given level of demand. 5. To obtain reasonable link flows and to identify heavily congested links. 6. To estimate the routes used between each origin to destination(O- D) pair. 7. To analyse which O-D pairs that uses a particular link or path. 8. To obtain turning movements for the design of future junctions.
  • 5. 1. All-or-nothing assignment • In this method the trips from any origin zone to any destination zone are loaded onto a single, minimum cost, path between them. This model is unrealistic as only one path between every O-D pair is utilised even if there is another path with the same or nearly same travel cost. • Also, traffic on links is assigned without consideration of whether or not there is adequate capacity or heavy congestion; travel time is a fixed input and does not vary depending on the congestion on a link. • However, this model may be reasonable in sparse and uncongested networks where there are few alternative routes and they have a large difference in travel cost. • This model may also be used to identify the desired path : the path which the drivers would like to travel in the absence of congestion. •It has a limitation that it ignores the fact that link travel time is a function of link volume and when there is congestion or that multiple paths are used to carry traffic.
  • 6. Example : To demonstrate how this assignment works, an example network is considered. This network has two nodes having two paths as links. Let us suppose a case where travel time is not a function of flow as shown in other words it is constant as shown in the figure below. Solution The travel time functions for both the links is given by: t1 = 10 t2 = 15 and total flows from 1 to 2 is given by. q12 = 12 Since the shortest path is Link 1 all flows are assigned to it making x1 =12 and x2 = 0.
  • 7. 2. User equilibrium assignment (UE) The user equilibrium assignment is based on Wardrop’s first principle, which states that no driver can unilaterally reduce his/her travel costs by shifting to another route. User Equilibrium (UE) conditions can be written for a given O-D pair as: fk(ck − u) = 0 : ∀k < 10.1> ck − u >= 0 : ∀k < 10.2> where fk is the flow on path k, ck is the travel cost on path k, and u is the minimum cost. Equation labelqueue2 can have two states. 1. If ck − u = 0, from equation 10.1 fk ≥ 0.This means that all used paths will have same travel time. 2. If ck − u ≥ 0, then from equation 10.1 fk = 0. This means that all unused paths will have travel time greater than the minimum cost path. where fk is the flow on path k, ck is the travel cost on path k, and u is the minimum cost. Assumptions in User EquilibriumAssignment 1.The user has perfect knowledge of the path cost. 2.Travel time on a given link is a function of the flow on that link only. 3.Travel time functions are positive and increasing. The solution to the above equilibrium conditions given by the solution of an equivalent nonlinear mathematical optimization program,
  • 8. These constraints naturally hold the point that minimizes the objective function. These equations state user equilibrium principle. The path connecting O-D pair can be divided into two categories : those carrying the flow and those not carrying the flow on which the travel time is greater than (or equal to)the minimum O-D travel time. If the flow pattern satisfies these equations no motorist can better off by unilaterally changing routes. All other routes have either equal or heavy travel times. The user equilibrium criteria is thus met for every O-D pair.The UE problem is convex because the link travel time functions are monotonically increasing function, and the link travel time a particular link is independent of the flow and other links of the networks.To solve such convex problem Frank Wolfe algorithm is useful.
  • 9.
  • 10. 3. System Optimum Assignment (SO) The system optimum assignment is based on Wardrop’s second principle, which states that drivers cooperate with one another in order to minimize total system travel time.This assignment can be thought of as a model in which congestion is minimized when drivers are told which routes to use. Obviously, this is not a behaviorally realistic model, but it can be useful to transport planners and engineers, trying to manage the traffic to minimize travel costs and therefore achieve an optimum social equilibrium.
  • 11. Differentiate the above equation to zero, and solving for x1 and then x2 leads to the solution x1 = 5.3, x2= 6.7 which gives Z(x) = 327.55
  • 12. Other assignment methods 1. Incremental assignment : Incremental assignment is a process in which fractions of traffic volumes are assigned in steps.In each step, a fixed proportion of total demand is assigned, based on all-or- nothing assignment.After each step, link travel times are recalculated based on link volumes.When there are many increments used, the flows may resemble an equilibrium assignment ; however, this method does not yield an equilibrium solution. Consequently, there will be inconsistencies between link volumes and travel times that can lead to errors in evaluation measures. Also, incremental assignment is influenced by the order in which volumes for O-D pairs are assigned, raising the possibility of additional bias in results. 2. Capacity restraint assignment : Capacity restraint assignment attempts to approximate an equilibrium solution by iterating between all-ornothing traffic loadings and recalculating link travel times based on a congestion function that reflects link capacity. Unfortunately, this method does not converge and can flip-flop back and forth in loadings on some links.
  • 13. TransCAD SOFTWARE provides the widest array of traffic assignment procedures that can be used for modeling urban traffic.These procedures include numerous variants that can be used for modeling intercity passenger and freight traffic. TransCAD is the first and onlyGeographic Information System (GIS) designed specifically for use by transportation professionals to store, display, manage, and analyze transportation data.TransCAD combines GIS and transportation modeling capabilities in a single integrated platform, providing capabilities that are unmatched by any other package.TransCAD can be used for all modes of transportation, at any scale or level of detail.TransCAD provides: 1. A powerful GIS engine with special extensions for transportation 2. Mapping, visualization, and analysis tools designed for transportation applications 3. Application modules for routing, travel demand forecasting, public transit, logistics, site location, and territory management. Traffic assignment Software : TransCAD
  • 14. A Powerful GIS forTransportation • TransCAD is a state-of-the-art GIS that you can use to create and customize maps, build and maintain geographic data sets, and perform many different types of spatial analysis. • TransCAD is the only software package that fully integrates GIS with demand modeling and logistics functionality.This makes it possible for models to be much more accurate and efficient. • InTransCAD, different modeling equations can easily be derived and applied for different geographic subareas. Similarly,TransCAD brings new and much-needed capabilities for measuring geographic accessibility.The GIS approach also provides a graphical solution that is easily understood. • TransCAD extends the traditional GIS data model to include transportation data objects such as transportation networks, matrices, routes systems, and linear-referenced data.These extensions makeTransCAD the best data management and analysis tool for working with transportation data.You can use the GIS functions to prepare, visualize, analyze, and present your work, and use the application modules to solve transportation problems with greater ease and efficiency than with any other product. Networks and matrices can be of virtually unlimited size.
  • 15. Networks: Transportation networks are specialized data structures that govern flow over a network. Networks are stored in a highly-efficient way, enablingTransCAD to solve routing problems very quickly. Networks can include detailed characteristics such as: 1. Turn delays or restrictions 2. Overpasses, underpasses, and one-way links 3. Intersection and junction attributes 4. Intermodal or interline terminals, transfer points, and delay functions 5. Zonal centroid connectors 6. Link classifications and performance functions 7. Transit access, egress, and walk transfer links
  • 16. Matrices: Matrices hold data such as distance, travel times, and origin- destination flows that are essential for many transportation applications.TransCAD provides functions for creating and manipulating matrices, and tools for spatial analysis and advanced visualization of matrix data.This combination lets you see and understand transportation flows and network characteristics in new and different ways Routes & Route Systems: Routes indicate paths taken by trucks, rail, cars, buses, or individuals traveling from place to place.TransCAD includes tools to create, display, edit, and manipulate routes, and unique display technology for mapping routes in a clear and compelling fashion.You can organize a set of related routes into a single route system layer, and include route attributes, stop locations, and vehicle schedules.
  • 17. Linear Referencing: TransCAD allows you to identify the location of transportation features as a distance from a fixed point along a route.TransCAD can display and analyze these data sets without conversion, and includes dynamic segmentation functions to merge and analyze multiple linear-referenced data sets.This makesTransCAD a natural choice for: 1. Facility infrastructure and operations data 2. Accident locations 3. Pavement or rail condition ratings 4. Traffic flows and transit ridership data 5. Facility alignments 6. Capital project data