摘要
为揭示各类交通规划管理政策和先进技术对道路交通系统的影响,构建了描述能源储备量、机动车保有量和路网面积动态演化的三维非线性动力模型,重点对均衡解的存在性、唯一性和稳定性进行分析。同时,通过数值试验验证了所得结论的正确性。结果表明:若所有变量及参数为正,则有实际意义的均衡解唯一且稳定;若满足可供机动车行驶的能源增长率降低城镇开发边界扩大、共享泊位供给量增加、机动车的平均能源消耗量增加中任一条件,则均衡平均车速提高;当满足一定条件时,路网面积和路网容量的换算系数增加会提高均衡平均车速;存在最优行驶机动车比例,可使均衡路网饱和度达到最低。
This study investigates the effect of various planning,management policies and advanced technologies on road traffic system.A three-dimensional nonlinear dynamic model is constructed to depict the dynamic evolutions of energy storage consumption,vehicle ownership and roadway area.The study analyzes the existence,uniqueness and stability of the equilibrium solution of the dynamic model,and verifies the correctness of the theoretical results through numerical experiments.The results indicate that:the equilibrium solution which has practical significance is unique and stable if all variables and parameters are strictly positive;the equilibrium average vehicle traveling speed increases when meet one of the following conditions:growth rate of energy available for vehicles decreases,the town development boundary,supply quantity of shared parking lots,or the average energy consumption of vehicles increases;when a certain condition is satisfied,the equilibrium average vehicle speed increases with the conversion coefficient between network area and road network capacity;there exists an optimal intensity of traffic volume,which could make the equilibrium road network reach its minimum saturation.
作者
王鹏飞
朱俊泽
王安格
刘鹏
李梦
徐秋实
WANG Peng-fei;ZHU Jun-ze;WANG An-ge;LIU Peng;LI Meng;XU Qiu-shi(Key Laboratory of Green Construction and Intelligent Maintenance for Civil Engineering of Hebei Province,Yanshan University,Qinhuangdao 066004,Hebei,China;Key Laboratory of Intelligent Analysis and Decision for Traffic System of Qinhuangdao City,Normal University of Science&Technology,Qinhuangdao 066004,Hebei,China;Faculty of Urban Construction,Beijing University of Technology,Beijing 100124,China;School of Economics and Management,Beihang University,Beijing 100191,China;Key Lab of Complex System Analysis and Management Decision,Ministry of Education,Beihang University,Beijing 100191,China;School of Economics and Management,Beijing Jiaotong University,Beijing 100044,China)
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2021年第5期214-221,共8页
Journal of Transportation Systems Engineering and Information Technology
基金
国家重点研发计划(2018YFB1600900)
国家自然科学基金重大项目(71890971/71890970)
教育部人文社会科学研究青年基金项目(21YJCZH162)。