车辆跟驰行为建模的回顾与展望  

Review and Outlook of Modeling of Car Following Behavior

作　　者：王殿海[1] 金盛[1] 

机构地区：[1]浙江大学建筑工程学院,浙江杭州310058

出　　处：《中国公路学报》2012年第1期115-127,共13页China Journal of Highway and Transport

基　　金：国家高技术研究发展计划("八六三"计划)项目(2011AA110304);国家自然科学基金项目(70971053)

摘　　要：系统地回顾了跟驰理论60年的发展历程,依据建模思想将跟驰行为模型分为交通工程角度和统计物理角度。交通工程角度的跟驰模型包括刺激-反应类、安全距离类、心理-生理类及人工智能类模型;统计物理角度的跟驰模型包括优化速度模型、智能驾驶模型和元胞自动机模型。针对各类模型分别阐述了其建模思路、模型结构、参数标定及其扩展研究。最后,展望了跟驰行为建模的发展趋势与研究方向,为建立适合中国交通流特点的跟驰模型提供参考。Authors reviewed the development of car following theory from a system point of view.Based on the modeling ideas,car following models were divided into point of view of traffic engineering and statistical physics.In the point of view of traffic engineering,car following models were classified into stimulus-response models,safety distance models,psycho-physical models and artificial intelligence models.In the point of view of statistical physics,car following models were classified into optimal velocity models,intelligent driver models,and cellular automata models.Then,various types of modeling ideas,model structure,parameter calibration,and related research were elaborated.Finally,development trends and research directions of car following models were proposed.It can provide reference for car following modeling of considering traffic flow characteristics in China.

关 键 词：交通工程 车辆跟驰 综述 建模思想 参数标定 统计物理 

分 类 号：U491.2[交通运输工程—交通运输规划与管理]