Investigation of the Road Traffic Impacts of Green Light Optimal Speed Advisory Systems

尽管信号交叉口对城市道路交通管理是必要的，但它们也是扰乱交通流量的瓶颈。在有信号的路口，交通流量中断会导致延误、走走停停（即加速/减速）和不必要的等待。技术进步为联网汽车（cv）铺平了道路，通过先进的车载通信系统改善交通流量和效率。一种新兴的基础设施对车辆（I2V）通信应用，被称为绿灯最佳速度咨询（GLOSA）系统，可以向正在接近交通信号的个别车辆推荐最佳速度。这种最佳速度建议使车辆能够顺利通过交通信号。本博士研究旨在调查GLOSA系统对交通的影响。量化是通过交通仿真建模实现的。为了建立交通信号与车辆之间的通信，并复制车辆的GLOSA反射决策，提出了一种控制算法。该算法使车辆能够根据信号相位和定时信息，在不停车或最少等待时间的情况下通过交通信号。因此，在有信号的路口，不必要的停车、延误和等待可以最小化。该算法将在仿真平台上以现实世界道路网络的交通和信号数据进行虚拟评估。该分析将在混合交通条件下进行，包括传统车辆和联网车辆，其渗透率和合规率不同。这将有助于了解GLOSA应用程序在不同条件下的性能，并确定GLOSA的未来实施如何改善道路交通流量。此外，仿真得到的车辆轨迹数据可以进一步用于估计GLOSA系统对车辆排放的影响。

Although signalised intersections are necessary for urban road traffic management, they are also bottlenecks that disrupt traffic flow. Interrupted traffic flow at signalised junctions results in delays, stop-and-go conditions (i.e. acceleration/deceleration) and unnecessary waiting. Technological improvements pave the way for connected vehicles (CVs) to improve traffic flow and efficiency via advanced vehicular communication systems. An emerging application of infrastructure-to-vehicle (I2V) communication, called the Green Light Optimal Speed Advisory (GLOSA) system, recommends an optimal speed to individual vehicles that are approaching a traffic signal. This optimal speed advisory allows vehicles to pass through the traffic signal smoothly. This doctoral research aims to investigate the traffic impacts of the GLOSA system. The quantification is achieved through traffic simulation modelling. A control algorithm is developed for building the communication between the traffic signals and vehicles and replicating the GLOSA reflective decisions of vehicles. The algorithm enables vehicles to pass a traffic signal either without stopping or with minimal waiting times depending on the signal phasing and timing information. Therefore, unnecessary stopping, delays and waits at signalised junctions can be minimised. The proposed algorithm will be assessed with real-world traffic and signal data on a real-world road network in a simulation platform virtually. The analysis will be conducted under mixed traffic conditions involving both conventional and connected vehicles at different penetration and compliance rates. This will help to understand the performance of the GLOSA application under different conditions and identify how the future implementation of GLOSA may improve road traffic flows. Furthermore, the vehicles' trajectories data obtained from the simulation can be further used to estimate the impacts of GLOSA systems on vehicular emissions.