Shared low-speed autonomous vehicles for short-distance trips: agent-based modeling with mode choice analysis

作     者：Zhang, Zihe Liu, Jun Nie, Qifan Jones, Steven 

作者机构：Univ Alabama Dept Civil Construct & Environm Engn Tuscaloosa AL 35487 USA Univ Alabama Alabama Transportat Inst Tuscaloosa AL USA Univ Alabama Transportat Policy Res Ctr Tuscaloosa AL USA 

出 版 物：《TRANSPORTATION PLANNING AND TECHNOLOGY》 (Transp. Plann. Technol.)

年 卷 期：2025年第48卷第2期

页      面：313-341页

核心收录：

学科分类：08[工学] 0823[工学-交通运输工程] 

基　　金：Alabama Transportation Institute (ATI) Transportation Policy Research Center (TPRC) at the University of Alabama 

主　　题：Low-speed autonomous vehicle Agent-based modeling Mode choice Sensitive analysis Mode share Shared autonamous vehicle 

摘      要：Previous research has envisioned behavior changes with the availability of shared autonomous vehicle (SAV) services. It is expected that SAVs will compete with conventional human-driven vehicles and lead to a shift in mode share. If designed as single-occupancy, low-speed, and lightweight, SAVs can also be considered a micro-mobility mode targeting short-distance trips in geofencing areas, which has been lacking in discussion in the state-of-the-art literature. To address this gap, this study envisions changes in mode choice with the implementation of a single-occupancy Shared Low-speed Light-weight Autonomous Mobility (SLLAM) system deployed, serving trips at speeds below 25 mph. Agent-based simulations are conducted to evaluate the mode share of the SLLAM system. The findings demonstrate that the SLLAM system has the potential to serve 36.98% of the trip demand in the study area. Increased operating speeds enhance the SLLAM mode share, making it a more attractive option for existing private vehicle trips.