Abstract
The platform of a microscopic traffic simulation provides an opportunity to study the driving behavior of vehicles on a roadway system. Compared to traditional conventional cars with human drivers, the car-following behaviors of autonomous vehicles (AVs) and connected autonomous vehicles (CAVs) would be quite different and hence require additional modeling efforts. This paper presents a thorough review of the literature on the car-following models used in prevalent micro-simulation tools for vehicles with both human and robot drivers. Specifically, the car-following logics such as the Wiedemann model and adaptive cruise control technology were reviewed based on the vehicle’s dynamic behavior and driving environments. In addition, some of the more recent “AV-ready (autonomous vehicles ready) tools” in micro-simulation platforms are also discussed in this paper.
Funder
U.S. Department of Transportation
Reference66 articles.
1. Autonomous Vehicle Implementation Predictions;Litman,2017
2. Effects of Next-Generation Vehicles on Travel Demand and Highway Capacity;Bierstedt,2014
3. Self-Driving Cars: The Next Revolution;Silberg,2012
4. Traffic flow modeling of large-scale motorway networks using the macroscopic modeling tool METANET
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