EFFECTIVE COOPERATIVE ADAPTIVE CRUISE CONTROL ALGORITHM FOR INTELLIGENT TRANSPORTATION SYSTEMS

Georges M. Arnaout, Hadi Arbabi, and Shannon Bowling

Keywords

Intelligent transportation systems, vehicular ad hoc networks, cooperative adaptive cruise control, traffic simulation, agentbased traffic simulation

Abstract

In this paper, a new algorithm for semi-autonomous Cooperative Adaptive Cruise Control (CACC) systems is proposed for collaborative driving based on the use of agent technology and information sharing. The proposed Effective CACC (ECACC) algorithm consists of speed and distance control algorithms and a combined acceleration/deceleration control law. The efficacy and performance of the algorithm has been evaluated in highways for various flow rates and traffic conditions using microscopic traffic simulation. It is shown that the proposed ECACC algorithm provides superior performance on traffic dynamics than scenarios without it. The results show significance and indicate the potential of ECACC systems to improve traffic characteristics, which can be used to reduce traffic congestion. This impact is higher when the market penetration rate of ECACC-equipped vehicles increases.

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