摘要
随着城市的快速发展,如何提高单点交叉口的通行能力和缓解城市交通拥堵是智慧城市亟待解决的热点问题。为了探究交叉口的通行能力分别与车辆速度、加速度、绿信比和拓宽车道长度等因素的影响关系,选用城市交通仿真(simulation of urban mobility,SUMO)。搭建城市典型道路交叉口模型,采用控制变量法分别设置模型中的一些几何参数和交通流量。通过传感器检测经过的车辆数量,得出不同因素影响下的交叉口通行能力。结果表明,当车辆行驶速度由30 km/h提高到80 km/h,车辆起步加速度由1.8 m/s^(2)提高到3.4 m/s^(2),相位的绿信比由0.2提高到0.45,拓宽车道长度由50 m提高到400 m时,交叉口通行能力分别提高了7.2%、3.5%、64.0%、4.7%。因此,提高车辆的行驶速度、加速度,增加绿信比和拓宽车道的长度均能有效提高交叉口的通行能力,有助于缓解交通拥堵,为实际生活中交叉口的改进提供理论依据。
With the rapid development of cities,how to improve the capacity of single-point intersections and relieve urban traffic congestion is one of the hot issues to be solved in smart cities.In order to investigate the influence of vehicle speed,acceleration,green letter ratio,widening lane length and other factors on the intersection capacity,simulation of urban mobility(simulation of urban mobility,SUMO)was selected.A model of a typical urban road intersection was built,and some geometric parameters and traffic flow in the model were set separately using the control variable method.The number of passing vehicles was detected by sensors to derive the intersection capacity under the influence of different factors.The results show that when the vehicle speed increases from 30 km/h to 80 km/h,the vehicle starting acceleration increases from 1.8 m/s^(2) to 3.4 m/s^(2),the phase green signal ratio increases from 0.2 to 0.45,and the length of widened lane increases from 50 m to 400 m,the intersection capacity increases by 7.2%,3.5%,64%and 4.7%respectively.Therefore,increasing the speed and acceleration of vehicles,the green letter ratio and widening the length of lanes can all effectively improve the capacity of intersections and help reduce traffic congestion.It provides a theoretical basis for the improvement of intersections in real life.
作者
张军
张建祥
卞云豪
刘克非
ZHANG Jun;ZHANG Jianxiang;BIAN Yunhao;LIU Kefei(School of Artificial Intelligence,Anhui University of Science and Technology,Huainan 232001,China;School of Mechanical Engineering,Anhui University of Science and Technology,Huainan 232001,China)
出处
《邵阳学院学报（自然科学版）》
2023年第4期1-7,共7页
Journal of Shaoyang University：Natural Science Edition
基金
国家自然基金资助项目(51175005)
教育部协同育人项目(202101054003)
安徽理工大学研究生核心课程项目(2021HX013)。
关键词
交叉口
通行能力
城市交通仿真
绿信比
intersections
traffic capacity
simulation of urban mobility(SUMO)
green time ratio
作者简介
张军,男,教授,博士,硕士研究生导师,从事机电一体化、压电阻抗技术、机器人、人工智能研究,E-mail:zhj63@163.com。
