Impact of Autonomous Vehicle (AV)-Based on Demand Transportation Services on Traffic Crashes
项目名称: Impact of Autonomous Vehicle (AV)-Based on Demand Transportation Services on Traffic Crashes
摘要: There has been two recent major advancements in the area of transportation industry which facilitated the mobility across the nation. The first technological advancement has brought Autonomous Vehicles (AVs) into reality, and the other major advancement is the emergence of on-demand ride services which has overcome many of the conventional travel barriers and improved personal mobility options. Although some studies explored the benefits and positive outcomes of both AVs and on-demand services; however, there are some other studies which found different outcomes and do not recommend the technology and service for safety reasons. Therefore, there is a need to study the impact of AV-based on-demand services on crashes as this will be future of the transportation systems in various cities and states. This study aims to evaluate the impact of AV-based on demand transportation services on traffic crashes with different severity levels. This project will analyze the (1) impact of the AV-based on-demand transportation services on frequency (number of) of crashes, (2) impact of the AV-based on-demand transportation services on total number of injuries, and (3) impact of the AV-based on-demand transportation services the number of serious injuries to analyze the crash patterns before and after the deployment of these services. To successfully achieve the objectives of this project, this study will use the data from City of Arlington, Texas Department of Transportation (TxDOT), and Arlington RAPID project. Arlington RAPID project is an implementation case study which has integrated the AVs into on-demand transportation services in Arlington, Texas. This study will use Difference in Difference, Time Series analysis, and Multivariate Regression modeling to evaluate the safety aspects of this integration and develop models for planners and policy-makers to estimate the changes in the number and severity of the crashes in their area while integrating AVs into their on-demand public transportation services. The results will be implemented in three other cities with different congestion and populations. The outcomes of this study will help with the planning for future deployment of AVs and integration of them into on-demand transportation services.
状态: Active
资金: 106006
资助组织: Office of the Assistant Secretary for Research and Technology
管理组织: Transportation Consortium of South-Central States (Tran-SET)
项目负责人: Dhasmana, Heena
执行机构: University of Texas at Arlington
主要研究人员: Kermanshachi M.ASCE, Sharareh
开始时间: 20220401
主题领域: Highways;Planning and Forecasting;Public Transportation;Safety and Human Factors;Vehicles and Equipment
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