Recent years, multimodal vehicles consisting of regular vehicles, CVs (connected vehicles) and AVs (automated vehicles) develop a persistent multimodal traffic streams, which changes the traffic composition of urban road network. The gradually proven automatic driving technique fastens the participation of Automatic Vehicles (AV) in real traffic system, and changes the environment, objective characteristics and possible methods of traffic control. This paper established a mathematical model of continuous traffic flow under two kinds of rules in simulation technologies according to improved cellular automata theory, and analyzed the performance of two kinds of rules through reasonable assumptions and simplifications and taking into account the efficiency, safety and applicability. In addition, this research analyzed the impact of automatic vehicles on the performance through assigning a zero value and used randomization deceleration probability to describe the uncertainty psychological factors of drivers and drivers' reaction time. This research found that within the impact of automated driving environment, continuous traffic flow will have higher efficiency and safety by adopting the fast and slow lanes classification rule.


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    Title :

    Evaluation of continuous traffic flow running rules with psychological factors of drivers and automated driving environment


    Contributors:


    Publication date :

    2017-08-01


    Size :

    473301 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English