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Modeling and simulation of network traffic flow evolution based on incomplete information feedback strategies in the ATIS environment
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作者 Jianqiang Wang Shiwei Li 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2017年第3期195-209,共15页
Considering both the high complexity of urban traffic flow systems and the bounded rationality of travelers,providing traffic information to all travelers is an effective method to induce each individual to make a mor... Considering both the high complexity of urban traffic flow systems and the bounded rationality of travelers,providing traffic information to all travelers is an effective method to induce each individual to make a more rational route-choice decision.Within Advanced Traveler Information System(ATIS)working environment,temporal and spatial evolution processes of traffic flow in urban road networks are closely related to strategies of providing traffic information and contents of information.In view of the day-to-day route-choice situations,this study constructs original updating models of the cognitive travel time of travelers under four conditions,including not providing any route travel time,only providing the most rapid route travel time,only providing the most congested route travel time,and providing all the routes travel times.The disaggregate route-choice approach is adopted for simulation to reveal the relationship between the evolution process of network traffic flow and the strategy of providing traffic information.The simulation shows that providing traffic information to all travelers cannot improve the operational efficiency of road networks.It is noteworthy that an inappropriate information feedback strategy would lead to intense variation in various routes traffic flow.Compared with incomplete information feedback strategies,it is inefficient and superfluous to provide complete traffic information to all travelers. 展开更多
关键词 traffic flow evolution route-choice road network incomplete information intelligent agent simulation
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