Research on Route-Choice Behavior of Unexpected-Destination Trip Under Random Dynamic Conditions
The study of route-choice behavior has been an important part of the study of urban-road transport system. In previous studies, the emergencies of the road network have been studied mostly from different angles under random dynamic conditions. But the con
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Abstract The study of route-choice behavior has been an important part of the study of urban-road transport system. In previous studies, the emergencies of the road network have been studied mostly from different angles under random dynamic conditions. But the condition of route-choice behavior of unexpected-destination trip was rarely mentioned. So in this paper, “unexpected radiation field” is put forward, at the same time, the characteristic of it is also studied. On the basis of this, route-choice behavior of unexpected-destination trip under random dynamic conditions is researched with a combination of “radiation field method” and discrete dynamic Bayesian network. Studies display that the location and important of the unexpected destination affect the route choice behavior closely. The simulation results show that, the model had a positive meaning, and enabled to simulate and reproduce the decision-making process more appropriately.
Keywords Driver behavior Route choice Radiation field Discrete dynamic bayesian network Uncertain inference Unexpected-destination
1 Introduction In real life, Drivers often face the condition of multi route. The drivers need to choice a route from multi route to complete the trip, this is the problem of route-choice. According to the quantities of destination, the drivers’ trip has 2 ways, single destination trip and multi destination trip. According to the different destination the drivers decided and arrive, the multi destination trip includes expected trip and unexpected trip. The expected trip is the destination that drivers want to arrive, it includes original destination and derived destination. The unexpected X. Wang (&) J. Zhang H. Wang C. Yin C. Yu School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China e-mail: [email protected] © Springer Science+Business Media Singapore 2017 H. Lu (ed.), Proceedings of the Second International Conference on Intelligent Transportation, Smart Innovation, Systems and Technologies 53, DOI 10.1007/978-981-10-2398-9_20
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destination means it has a new destination for some reason, such as the husband is asked to buy some vegetables by the wife on the way home etc. The unexpected destination is different from the derived destination, the derived destination means during the trip to expected destination, it has derived another destination. The study of route-choice behavior has been an important part of the study of urban-road transport system, it is also very important for the problems such as the traffic assignment and relieving traffic congestion etc. The urban traffic environment is random dynamic, such as the time-varying traffic flow, accidental traffic accident, unexpected traffic jam, all of these can cause the random trip time [1]. In study of the random and dynamic part, some scholars such as Wang zheng wu studied the topic “the multi destination and route-choice from the uncertain condition”, they analyzed the uncertain attributes of the
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