Modeling reaction time within a traffic simulation model
Author(s)Basak, Kakali; Hetu, Seth N.; Azevedo, Carlos Lima; Loganathan, Harish; Toledo, Tomer; Xu, Runmin; Xu, Yan; Peh, Li-Shiuan; Ben-Akiva, Moshe E.; Li, Zhemin; ... Show more Show less
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Human reaction time has a substantial effect on modeling of human behavior at a microscopic level. Drivers and pedestrian do not react to an event instantaneously; rather, they take time to perceive the event, process the information, decide on a response and finally enact their decision. All these processes introduce delay. As human movement is simulated at increasingly fine-grained resolutions, it becomes critical to consider the delay due to reaction time if one is to achieve accurate results. Most existing simulators over-simplify the reaction time implementation to reduce computational overhead and memory requirements. In this paper, we detail the framework which we are developing within the SimMobility Short Term Simulator (a microscopic traffic simulator), which is capable of explicitly modeling reaction time for each person in a detailed, flexible manner. This framework will enable modelers to set realistic reaction time values, relying on the simulator to handle implementation and optimization considerations. Following this, we report our findings demonstrating the impact of reaction time on traffic dynamics within several simulation scenarios. The findings indicate that in the incorporation of reaction time within microscopic simulations improves the traffic dynamics that produces more realistic traffic condition.
DepartmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)
Institute of Electrical and Electronics Engineers (IEEE)
Basak, Kakali, Seth N. Hetu, Zhemin Li, Carlos Lima Azevedo, Harish Loganathan, Tomer Toledo, Runmin Xu, Yan Xu, Li-Shiuan Peh, and Moshe Ben-Akiva. “Modeling Reaction Time Within a Traffic Simulation Model.” 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) (October 2013).
Author's final manuscript