Information Integration for Network Traffic Management

SC34.1 Real-Time Consistent-Normative Traveler Information Supply Strategies: Applications to Network Traffic Management

• Khaled F. Abdelghany; University of Texas, Dept. of Civil Eng., ECJ 6.2, Austin, TX 78751; kfaissal@mail.utexas.edu
• Hani S. Mahmassani; University of Texas, Dept. of Civil Eng., ECJ 6.2, Austin, TX 78751; masmah@mail.utexas.edu

A mathematical formulation and solution algorithm for the problem of generating real-time consistent-normative information to users are presented. The formulation seeks to provide users with predicted link travel time information which induces route choice decisions that achieve system wide objectives (better spatial and temporal traffic distribution in the network), while at the same times minimizing inconsistency between supplied and experienced travel times.

SC34.2 A Coordination Scheme of Incident Management using Telematics Devices

• Henry X. Liu; University of California, California PATH, ATMIS Ctr., Inst. of Transport Studies, Irvine, CA;
• Rachel R. He; Princeton University, Dept. of OR & Financial Eng.;
• Bin Ran; , Dept. of Civil & Environ. Eng., Madison, WI;

Currently, many incident management strategies focus on diverting traffic through roadside devices such as CMS, traffic signal and ramp control. With the fast-growing telematics market and maturing traffic information services, telematics devices provide another feasible means to manage incidents more efficiently. An integrated coordination scheme for incident management is developed and evaluated using Paramics simulation.

SC34.3 Multicriteria Network Equilibrium Modeling with Variable Weights for Decision-Making in the Information Age

• Anna Nagurney; University of Massachusetts, Isenberg Sch. of Mgmt., Amherst, MA 01003; nagurney@gbfin.umass.edu
• June Dong; SUNY, Coll. of Bus., Oswego, NY 13126; dong@oswego.edu
• Patricia L. Mokhtarian; University of California, Dept. of Civil & Environ. Eng., Davis, CA 95616; plmokhtarian@ucdavis.edu

We develop a multicriteria network equilibrium framework for modeling decision-making in the information age. The decisions take place on a network in which the links can be either physical as in the case of transportation or virtual. We apply the modeling schema to teleshopping and telecommuting.

SC34.4 An On-Line Algorithm for Characterizing Non-Recurrent Congestion

• Wei Hua Lin; University of Arizona, SIE Dept., Tucson, AZ 85721;

We consider a methodology for distinguishing non-recurrent congestion from recurrent congestion based on transformed occupancy information from loops. The method is capable of detecting the occurrence of an incident and estimating the magnitude of the incident. It requires little effort for calibrating its parameters and can be readily implemented on-line.