项目名称: 入口匝道自适应巡航车流交通特性及控制策略研究
项目编号: No.61773290
项目类型: 面上项目
立项/批准年度: 2018
项目学科: 自动化技术、计算机技术
项目作者: 李志鹏
作者单位: 同济大学
项目金额: 16万元
中文摘要: 交通瓶颈拥堵问题已成为诸多大中型城市的痛点,自适应巡航控制(ACC)车辆的大量普及将改变现有的交通流演化特征,基于车联网发布控制措施缓解瓶颈处交通拥堵已成为可能。本项目以ACC车辆和入口匝道为研究对象,重点研究在不同自适应巡航车流密度下的入口匝道交通流特性及动态管理控制策略。在调研和分析实际ACC车辆自适应巡航系统控制结构的基础上,建立考虑下层控制结构影响的ACC车辆微观模型和换道模型;利用实测数据标定所建模型的参数,并研究瓶颈处交通拥堵的形成机理;根据入口匝道瓶颈拥堵形成机制,提出在不同自适应巡航车流密度下的动态管理控制策略,研究管理控制策略对入口匝道瓶颈处交通流特性,交通拥堵的演化、以及交通瓶颈处通行能力的影响机理。本项目的研究有助于加深人们对ACC车辆通行入口匝道瓶颈的认识,为利用自动驾驶技术缓解交通拥堵、提高运行效率提供理论基础和科学依据。
中文关键词: 交通流建模;入口匝道瓶颈;车联网;动态管理控制策略;交通拥堵
英文摘要: Serious traffic congestion at some bottlenecks in urban road network has become a common problem generally exists in large or medium-sized cities, the popularity of ACC-equipped vehicles will change the existing traffic characteristics of vehicle flow, it is possible to develop scientific traffic management and control measures to relieve traffic congestion. In this project, we take the on-ramp bottleneck and ACC-equipped vehicle as the sample objects of study, and mainly focus on studying the properties of the on-ramp under different traffic densities of ACC-equipped vehicle, and the strategies of the dynamic control based on the communication environment of internet of vehicles. Firstly, we build microscopic models for ACC-equipped vehicle considering the influence of the lower-level control structure, and lane changing models describing the operational characteristic of ACC-equipped vehicle stream at on-ramp bottleneck, based on the investigation and analysis of the control structure of the actual ACC vehicle adaptive cruise control system. Secondly, we will calibrate the proposed ACC-equipped vehicle models and the lane-changing models by use of the field survey data, and conduct the simulations of on-ramp under different ACC-equipped vehicle stream density with exploring the root causes of traffic congestion at on-ramp bottlenecks. Finally, according to the traffic characteristics of on-ramp bottleneck, we will put forward the dynamic strategies of management control for the on-ramp bottleneck, and analyze the effect of the dynamic strategies of management control on the ACC-equipped vehicle stream at the bottlenecks, the evolution of the traffic congestion and the traffic current at the bottlenecks. This project will help us to deepen the understanding of the on-ramp bottlenecks, and to provide theoretical basis and scientific basis for the use of automatic driving technology to alleviate traffic congestion and improve operating efficiency.
英文关键词: traffic flow modelling;on-ramp bottleneck;Internet of vehicles;dynamic strategy of management control;traffic congestion