1. Incident-Management In Central Arkansas Federal-aid Project Number: ITSR(001) ITS meta Lab University of Arkansas at Little Rock

2. An Integrated and Shared System Operators Motorists Incident System

4. Goals of Our Study Model the distribution of incidents . Investigate advanced incident detection techniques Choose the appropriate incident-response strategies Perform Benefit/Cost (B/C) analysis

6. Incident Data of Arkansas Arkansas State Police Report (2000 ~ 2003) larger municipalities Frequency counties road system crash severity alcohol involvement weather roadway profile roadway alignment light conditions weekdays type of collisions rural or urban

8. SIMAN Dynamic shortest path EMS fleet assignment & demand coverage MRM (Multicriteria Routing Module ) DRA (Dynamic Routing Algorithm) SIMANI (Stochastic Incident-Management of Asymmetric Network-Workload – Integrated )

10. Reported & potential Incidents Potential workload at f =40 Risk = 20% Workload = 3 ×20 min Potential workload at v=20 Delay at f = 80 min 10 40 30 50 f (1) v (2) 2 1

11. Comparison between Rotation and SIMAN 9.51 11.18 Standard Deviation of Work Time (min) 27.90 34.54 Mean of Work Time (min) 208,343,664.00 259,787,280.00 Total Delay Cost (veh-min) 66,757 66,757 Total Number of Vehicle Dispatches SIMAN Rotation

12. Multicriteria Routing Module

13. Operational Model – Dynamic Routing 15 10 10 15 C B A 0 5 10 15 35 25 25 Intermediat e Starting Arrival 20 35

14. Arkansas Crash Data for 2003 52,474 641 42,222 28,125 557 Injuries Fatalities PDO Injury Fatal

15. Functional Structure of the Prototype Incident Command Center Users Motorists Operators Managerscxv Environment Travel Time Incidents System Data Input & Analysis Core Algorithms Output Platforms

21. Schedule of Incident Service Dispatch time Incident Occurrence Incident Notified Response Unit Assignment Response Unit Arrives at Scene Detection time Response vehicle travel time Incident clear time Work time Response time Incident Restoration

23. Dominant Tours 0.563 6.57 44.74 42.83 0-12-14-10-9-8-11-13-7-15-0 0-10-11-15-0 4 0.568 5.74 44.10 43.56 0-12-14-10-14-12-11-12-0-15-0 0-10-11-15-0 3 0.564 6.02 41.25 39.72 0-12-11-8-9-10-14-12-0-15-0 0-10-11-15-0 2 0.681 6.92 41.76 39.02 0-12-11-8-9-10-9-8-11-12-0-15-0 0-11-10-15-0 1 Risk Index Time Variance Expected Time Dist. Original Tour Tour Wt. Set

24. Path Dist, Time, Var & Risk on Network ---- 0.5245 0.5388 0.4480 0.5058 1.0000 0.9756 0.7399 0.6579 0.2405 0.2500 0.2168 0.1608 15 0.5245 0.5388 0.4480 0.5058 ---- 0.4409 0.4612 0.5520 0.4942 0.2840 0.2888 0.2312 0.3450 11 1.0000 0.9756 0.7399 0.6579 0.4409 0.4612 0.5520 0.4942 ---- 0.7595 0.7256 0.5231 0.4971 10 0.2405 0.2500 0.2168 0.1608 0.2840 0.2888 0.2312 0.3450 0.7595 0.7256 0.5231 0.4971 ---- 0 15 11 10 0 NODES

25. An Example

26. Objective function Delay Cost For each incident in the network Delay Cost = Cost × Delay Cost = Traffic Volume (Vehicle) Delay = Work Time (Minute) fixed costs for dispatching response vehicles = Number of response vehicles × Unit cost to dispatch a vehicle

27. Incident parameters W f =3 ×20 C f =80 C v =100 J f =70 J v =40 H=20 K=5 10 40 30 50 f (1) v (2) 2 1 5×20 4×20 3×20 2×20 1×20 --------- D f D v 0.004 0.055 0.101 0.246 0.594 0.0046 v (2) 0.000 0.019 0.070 0.192 0.718 0.0142 f (1) Z 5 Z 4 Z 3 Z 2 Z 1 λ

28. Incident workload Node v (2) Node f (1) W f =3 ×20 C f =80 C v =100 J f =70 J v =40 H=20 K=5 10 40 30 50 f (1) v (2) 2 1 ∞ ∞ ∞ 86.81 15.69 0.2 t 4 t 3 t 2 t 1 t 0 R ∞ ∞ ∞ 146.4 48.22 0.2 t 4 t 3 t 2 t 1 t 0 R

30. ATIS Architecture

31. Work in Progress: Incident Detection

32. Functional ICC/TMC