Transportation Planning for Connected Autonomous Vehicles: How It All Fits Together

Author:

Cottam Bobby J.1

Affiliation:

1. Department of Industrial Engineering, Bell Engineering Center, University of Arkansas, Fayetteville, AR

Abstract

As connected and autonomous vehicle (CAV) technology continues to evolve and rapidly develop new capabilities, it is becoming increasingly important for transportation planners to consider the effects that these vehicles will have on the transportation network. It is evident that this trend has already started; over 60% of long-range transportation plans in the largest urban areas now include some discussion of CAVs, up from just 6% in 2015. There are also numerous CAV pilot programs currently underway that entail testing vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) interaction in both isolated and real-world environments. In this review of the current assessments for CAV impacts, two primary trends are identified. First, there is a great deal of uncertainty that is not being explicitly considered and properly accounted for in the transportation-network planning process. Second, the predictions that are being made are not considering potential policy or planning actions that could shape or affect the impacts of CAVs. This paper provides a picture of how ongoing CAV research interacts with current transportation planning practices by examining how the methods, the ranges of predictions, and the different sources of uncertainty in each method impact the planning process and potential system outcomes. Finally, it will identify best practices from decision analysis to help plan the best possible future transportation networks.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference16 articles.

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2. Maximize 2040: A performance based Transportation Plan. Baltimore Regional Transportation Board (BRTB). 2016.

3. Traffic Safety Facts 2008. National Highway Traffic Safety Administration. U.S. Department of Transportation. Washington, DC. 2008. DOT HS 811 170.

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