Evaluation of incident management strategies and technologies using an integrated traffic/incident management simulation

This paper describes Rutgers Incident Management System (RIMS) software that is developed to evaluate the benefits of various incident management strategies and technologies. This tool can generate incidents and test various response strategies and technologies. South Jersey highway network is used as a test network due to the available historical incident data. The evaluated incident management strategies include the deployment of Variable Message Signs (VMS) to divert traffic during incidents and the use of Freeway Service Patrols (FSPs) for detecting and verifying incidents efficiently. The simulation-based evaluations also include the effect of cellular phone users in the network on the incident detection and verification times. The results show that the studied incident management strategies have positive impacts on reducing incident durations while being cost effective. More specifically, the deployment of VMS for diverting traffic in case of an incident results in a benefit cost ratio of 9.2:1; an additional service unit in freeway patrol results in reduced incident detection and verification time with a corresponding benefit-cost ratio of 3.9:1.

[1]  Michael A. Ogden,et al.  Freeway Service Patrols: A State of the Practice , 1998 .

[2]  Peter J. Bickel,et al.  A New Methodology for Evaluating Incident Detection Algorithms , 2000 .

[3]  Hanif D. Sherali,et al.  Opportunity cost-based models for traffic incident response problems , 1999 .

[4]  Wei Wu,et al.  Validation of WAIMSS incident duration estimation model , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[5]  Bekir Bartin,et al.  Incident Management Simulation , 2003, Simul..

[6]  Randolph W. Hall,et al.  INCISIM: Users Manual , 2000 .

[7]  Asad J. Khattak,et al.  A Simple Time Sequential Procedure for Predicting Freeway Incident duration , 1995, J. Intell. Transp. Syst..

[8]  Kaan Ozbay,et al.  Probabilistic Programming Models for Response Vehicle Dispatching and Resource Allocation in Traffic Incident Management , 2004 .

[9]  Pushkin Kachroo,et al.  Wide-area incident management system on the Internet , 1998, SMC.

[10]  A. Kanafani,et al.  Incident management with advanced traveller information systems , 1991, Vehicle Navigation and Information Systems Conference, 1991.

[11]  Kaan Ozbay,et al.  Evaluation of Incident Management Strategies , 2005 .

[12]  Renatus N. Mussa,et al.  Simulation assessment of incident detection by cellular phone call-in programs , 1999 .

[13]  Kumares C. Sinha,et al.  Simulation Model for Evaluating and Improving Effectiveness of Freeway Service Patrol Programs , 2002 .

[14]  K G Zografos,et al.  An Analytical Framework for Minimizing Freeway Incident Response Time , 1993 .

[15]  Pravin Varaiya,et al.  Evaluation Of The Freeway Service Patrol ( F S P ) In Los Angeles , 1998 .

[16]  David M Levinson,et al.  An economic evaluation of freeway service patrols , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[17]  C. Daganzo THE CELL TRANSMISSION MODEL.. , 1994 .

[18]  Vice President,et al.  Institute of Transportation Engineers , 2010 .