Cooperative Adaptive Cruise Control improves maximum throughput at a market penetration of 40 percent.
Modeling macroscopic traffic flow characteristics and aggregate performance when of a mix of standard and Cooperative Adaptive Cruise Control vehicles.
Made Public Date
02/06/2018

13

Nationwide
United States
Identifier
2018-01243
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Modeling Heterogeneous Traffic with Cooperative Adaptive Cruise Control Vehicles: A Macroscopic Equilibrium Approach

Summary Information

This research develops a general framework for modeling macroscopic traffic flow characteristics and aggregate performance when traffic is composed of a mix of standard and Cooperative Adaptive Cruise Control (CACC) vehicles and it analyzes how CACC vehicles impact aggregate traffic flow at several penetration rates.

Methodology

Modeling behavior of standard and CACC vehicles is done using a Longitudinal Control Model (LCM). Microscopically, LCM is intended to specify the functional form of vehicle acceleration while allowing different safety following rules. Microscopic vehicle behavior is aggregated to the macroscopic level by considering the steady-state average behavior of the vehicles. Probabilities of different behaviors are gauged based on the penetration of CACC-equipped vehicles.

Findings

Capacity improvements are noted when CACC-equipped vehicles reach 40 percent penetration.

Modeling Heterogeneous Traffic with Cooperative Adaptive Cruise Control Vehicles: A Macroscopic Equilibrium Approach

Modeling Heterogeneous Traffic with Cooperative Adaptive Cruise Control Vehicles: A Macroscopic Equilibrium Approach
Publication Sort Date
01/01/2017
Author
Vander Laan, Zachary
Publisher
University of Maryland, College Park

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