江苏大学学报（自然科学版）2025，Vol.46Issue(4)：388-394,7.DOI:10.3969/j.issn.1671-7775.2025.04.003
基于异质交通流基本图的通行能力模型
Road capacity model based on basic diagram of heterogeneous traffic flow
摘要
Abstract
To investigate the characteristics of heterogeneous traffic flow capacity of mixed intelligent connected vehicles and human-driven vehicles,the basic diagram of heterogeneous traffic flow with considering reaction time was derived based on the cooperative adaptive control model and the intelligent driver model.The proportion of vehicles under heterogeneous traffic flow was determined according to different following modes.Based on the derived basic diagram model of heterogeneous traffic flow,the connection between the penetration rate of intelligent connected vehicles and the road capacity was analyzed,and the sensitivity analysis for the influencing parameters in the model was conducted.The proposed model was verified by SUMO simulation software.The results show that for the same density,increasing intelligent connected vehicle penetration is beneficial to the road traffic flow,and each 20％increasing of intelligent connected vehicle penetration can increase the road capacity by 607.81 veh/h on average.Each 0.1s decreasing of headway time distance and each 5 m/s increasing of free flow speed can increase the road capacity by 341.00 veh/h and 317.00 veh/h,respectively,which illustrates that the reduction of reaction time has positive effect on the road capacity improvement.The simulated data points also fluctuate to different degrees when the penetration rate of intelligent connected vehicles is increased,while they are all around the theoretical curve.The simulation results are basically consistent with the theoretical curve,which proves the rationality and validity of the basic diagram model of heterogeneous traffic flow.关键词
通行能力/交通工程/智能网联车辆/异质交通流/基本图Key words
road capacity/transportation engineering/connected and autonomous vehicle/heterogeneous traffic flow/basic diagram分类
交通工程引用本文复制引用
张文会,宋子文,张超,张攀..基于异质交通流基本图的通行能力模型[J].江苏大学学报（自然科学版）,2025,46(4):388-394,7.基金项目
中央高校基本科研业务费专项资金资助项目(2572021DT09) （2572021DT09）
黑龙江省重点研发计划项目(JD22A014) （JD22A014）
