Distributed decision evaluation model in public transportation systems
Engineering Applications of Artificial Intelligence
International Journal of Computer Integrated Manufacturing - Industrial Engineering and Systems Management
ACE-INPUTS: A Cost-Effective Intelligent Public Transportation System
IEICE - Transactions on Information and Systems
A review of the applications of agent technology in traffic and transportation systems
IEEE Transactions on Intelligent Transportation Systems
On-line reschedule optimization for passenger railways in case of emergencies
Computers and Operations Research
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This paper deals with the real-time regulation of traffic within a disrupted transportation system. We outline the necessity of a decision support system that detects, analyzes, and resolves the unpredicted disturbances. Due to the distributed aspects of transportation systems, we present a multi-agent approach for the regulation process. Moreover, this approach also includes an evolutionary algorithm that is based on an original genetic coding representing the decisions on a set of vehicles and stops affected by the disturbance. This set constitutes, in fact, the space-time horizon of the regulation process. The evolutionary algorithm then treats the regulation problem as an optimization and provides the regulator with relevant decisions that can result in a partial reconfiguration of the network.