Paradigms to Deploy a Behavior-Consistent Approach for Information-Based Real-Time Traffic Routing |
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Authors: | Alexander Paz Srinivas Peeta |
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Affiliation: | (1) Civil and Environmental Engineering Department, University of Nevada, 4505 Maryland Parkway, P. O. Box 454015, Las Vegas, NV 89154-4015, USA;(2) School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907-2051, USA |
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Abstract: | A behavior-consistent information-based network control approach determines real-time traffic routing strategies by explicitly
accounting for drivers’ likely response to the controller-recommended routes while generating these strategies. This paper
proposes paradigms to deploy a behavior-consistent approach developed by the authors (Paz and Peeta 2007). These paradigms seek to enhance deployment effectiveness by analyzing the effects of alternative controller objectives
and driver-preferred route sets used to recommend routes. Experiments are conducted using a test network. They analyze: (1)
the performance of the behavior-consistent approach under commonly-used controller objectives, (2) the deployment flexibility
enabled by increasing the number of driver-preferred routes considered by the controller for routing, and (3) the effects
of augmenting the driver-preferred route choice set through various paradigms. The results suggest that the behavior-consistent
approach can perform better than standard dynamic traffic assignment models while directing the system towards the desired
state. They also illustrate the effectiveness of considering more driver-preferred routes in developing the information strategies.
Further, they suggest that driver-preferred route choice set augmentation and the associated route types can have differential
impacts on performance. Also, performance is influenced by trade-offs between the number of driver-preferred routes considered
by the controller for routing and the quality of routes relative to the controller objective. The results suggest that higher
compliance rates may not translate to better performance and question the justification of user equilibrium solutions for
route guidance on the ground that a system optimal strategy is not behaviorally sustainable. |
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Keywords: | Traffic routing Behavior-consistent strategies Degree of overlap Driver route choice Deployment paradigms |
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