自动驾驶汽车对德克萨斯州长途出行方式和目的地选择的影响

IF 4.6 3区 工程技术 Q1 ECONOMICS
Priyanka Paithankar, Maithreyi Vellimana, Kara M. Kockelman
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引用次数: 0

摘要

预计有一天,私人拥有和共享的自动驾驶乘用车(AVs和sav)以及自动驾驶重型卡车(ATrucks)将在美国和其他国家广泛使用。这项研究扩展了德克萨斯州的全州分析模型(SAM),比较了有和没有自动驾驶汽车、sav和attruck的情况,同时限制了空的AV和attruck,允许sav在没有乘客的情况下运行。结果显示,平均而言,个人可能会选择更偏远的目的地,长途(单程50英里以上)商务旅行(平均)增加18%(从121英里增加到142英里),非商务旅行(从135英里增加到151英里)增加13%。自动驾驶汽车和sav占德克萨斯州单人长途旅行的14%,这使得人工驾驶汽车的长途旅行减少了17个百分点。在50 - 400英里的单程旅行中,载客3人以上的自动驾驶汽车占全州每日旅行总人数(3.1亿)的14.4%,两名乘客的自动驾驶汽车占7.8%,一人的自动驾驶汽车占10.7%。在货运领域,ATrucks是首选模式,处理35%的货物吨英里,超过了24%的铁路和16%的人力驾驶卡车(HTrucks)(在加入ATrucks之前,HTrucks和铁路分别为52%和33%)。结果表明,如果不实施出行需求管理措施,将会出现严重的拥堵问题,全州的日行驶里程将增加24%(从1.10亿英里增加到13.6亿英里),距离加权平均网络速度将下降37%(从25.8英里每小时下降到18.9英里每小时)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of autonomous vehicles on long-distance travel mode and destination choices in Texas
Privately owned and shared autonomous passenger vehicles (AVs and SAVs) and autonomous heavy-duty trucks (ATrucks) are expected to one day be widely available across the US and other nations. This study extends Texas’ Statewide Analysis Model (SAM) to compare scenarios with and without AVs, SAVs, and ATrucks, while restricting empty AV and ATruck travel—only SAVs are allowed to operate without passengers. Results suggest that, on average, individuals are likely to choose more remote destinations, as seen by an 18% rise in (average ) long-distance (over 50 miles, one-way) business trips (from 121 to 142 miles) and 13% for non-business trips (from 135 to 151 miles). AVs and SAVs accounted for 14% of one-person (single-occupant) long-distance trips across Texas, contributing to a 17 percentage-point reduction in long-distance trips made by human-driven vehicles. For (one-way) person-trips between 50 and 400 miles, SAVs carrying 3+ passengers accounted for 14.4% of the total daily statewide (310 million) person-miles traveled (PMT), two-passenger SAVs made up 7.8%, and one-person AV trips represented 10.7%. In the freight sector, ATrucks were the preferred mode, handling 35% of freight ton-miles, surpassing rail at 24% and human-driven trucks (HTrucks) at 16% (vs 52% and 33% via HTrucks and rail, respectively, before the inclusion of ATrucks). Results suggest serious congestion issues if travel demand management measures are not implemented, with statewide daily VMT rising 24% (from 1.10 to 1.36 billion vehicle-miles) and distance-weighted average network speeds falling 37% (from 25.8 to 18.9 miles per hour).
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来源期刊
CiteScore
8.40
自引率
2.60%
发文量
59
审稿时长
60 days
期刊介绍: Research in Transportation Economics is a journal devoted to the dissemination of high quality economics research in the field of transportation. The content covers a wide variety of topics relating to the economics aspects of transportation, government regulatory policies regarding transportation, and issues of concern to transportation industry planners. The unifying theme throughout the papers is the application of economic theory and/or applied economic methodologies to transportation questions.
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