FHWA Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 3 \u2013 Traffic Signal Optimization With CDA at Signalized Intersections

Federal Highway Administration2022PDFTech ReportSoleimaniamiri, SaeidLi, Xiaopeng (Shaw)Yao, HandongGhiasi, AmirVadakpat, GovindBujanovic, PavleLochrane, TaylorStark, JohnRacha, SujithHale, DavidLeidos, Inc.University of South FloridaUnited States. Federal Highway AdministrationUnited States. Federal Highway AdministrationUnited StatesVehicle to infrastructure communicationsTrajectory controlTransportation system managementTransportation operationsSignalized intersectionsTraffic signalsC\u2014ADS-Equipped VehiclesCooperative Driving Automation (CDA)CARMA 3Trajectory SmoothingTrajectory PlanningSignal OptimizationCritical Time Step EstimationFHWA-HRT-22-052DTFH6116D00030L (TO 19-360)Vadakpat, GovindarajanCooperative driving automation (CDA) aims to improve the safety, traffic throughput, and energy efficiency of the transportation network by allowing vehicles and infrastructure to work together to coordinate movement. The objective of this project is to advance the CARMASM ecosystem and its capabilities by enhancing CDA participants' interaction with road infrastructure, infrastructure performance, network efficiency, and the flow of traffic. The focus of this concept of operations is on transportation systems management and operations (TSMO) use case 3 (UC), which investigates traffic signal optimization (SO) with CDA at signalized intersections. The proposed approach for TSMO UC3 has three main components: SO (designed for roadside equipment (RSE) and CARMA PlatformSM), critical time step estimation (designed for RSE), and trajectory smoothing for cooperative automated driving system-equipped vehicles (designed for CARMA Platform). The proposed control component will increase traffic throughput and reduce energy consumption of vehicles while ensuring safety at signalized intersections and optimizing the signal settings.127