智能车路系统中的车-路协同控制

This project aims to investigate integrated vehicle-road control and optimal scheduling in intelligent vehicle-highway systems. The emphasis is focused on some fundamental important problems such as network access scheduling of vehicles, traffic light switching control and fuel consumption optimization. The main contents of the project are as follows. (1) Scheduling and control co-design for vehicle platoons in vehicular ad hoc networks: using analytical functions generating binary sequences as the scheduling functions for the platoon of vehicles, by which the parameters of scheduling functions can be jointly determined with the controllers. (2) Traffic light switching control and platoon optimal control co-design: Targeting at establishing a co-design framework for both by minimizing the idle time at the red lights. (3) Integrated vehicle-road control: Complementing the traffic light switching control and platoon control co-design framework by fuel consumption modeling, in which factors like the lead vehicle acceleration/deceleration, traffic signal status and road slopes are involved. (4) Testing and verifying theoretic results obtained using the intelligent vehicle-road experimental platform, which then serves as the theoretical and experimental basis in deriving a practical integrated vehicle-road control technique.

本项目旨在对智能车路系统中的车-路协同控制和优化调度进行探索，重点研究车辆通信接入调度、交通信号灯切换控制以及燃油消耗优化等重要基本问题。主要研究内容包括：(1) 车载网络通信调度与车辆队列控制协同设计。采用解析形式的二进制序列作为车辆通信调度函数，实现调度函数参数与车队控制器的协同设计。(2) 交通信号灯切换与车队控制的优化协同设计。以最少红灯等待时间为目标，建立交通信号灯切换控制策略与车队控制器协同设计的统一框架。(3) 基于燃油消耗优化的车-路协同控制。结合领队车加速/减速、路面坡度、交通信号灯等影响燃油消耗的因素，建立车队燃油消耗模型，并以此为基础探索低燃油消耗的车队控制与信号灯切换控制的协同设计方案。(4) 在智能车路系统实验平台上验证和检验所得理论成果，为获得实用的智能车路协同控制技术提供理论及实验支持。

本项目针对车-路协同控制和优化调度中的基本科学问题，重点探讨了车辆通信冲突缓解机制、交通信号灯配时控制及基于燃油指标的车队速度规划等重要问题的分析与设计方法。主要研究进展包括：(1) 车联网介质接入控制层的通信协议与车辆协作行驶控制协同设计。采用解析形式的二进制序列作为车辆通信调度函数，从而获得调度函数参数与车队控制器的协同设计方法。(2) 交通信号灯配时优化与车辆行驶速度规划。以最小化油耗和红灯等待时间为指标，提出交通信号灯配时优化与车辆速度优化方法体系。(3) 基于燃油经济性指标的车-路协同控制。结合领队车加速度、路面坡度、信号灯状态等影响因素，提出低燃油消耗的车队控制与信号灯配时控制协同设计方法。(4) 构建智能车路系统实验平台，并对所得理论成果进行了验证和检验。