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Simulation models show that in a fully connected vehicle environment, a variable speed limit (VSL) control algorithm can reduce total travel time by 20 percent.

Variable speed limit control algorithm focused on individual driver behavior in a connected vehicle environment.

Date Posted
01/04/2018
Identifier
2016-B01113
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Variable speed limit: A microscopic analysis in a connected vehicle environment

Summary Information

This paper presents a variable speed limit (VSL) control algorithm for simultaneous maximizing mobility, safety, and environmental benefits in a connected vehicle (CV) environment. In a CV environment, data is available at a microscopic level capable of providing real-time individual driver information to a system that could provide guidance to vehicles in the network.



Methodology



This paper investigated a VSL control algorithm using a microscopic approach by focusing on individual driver’s behavior (e.g., acceleration and deceleration) through use of Model Predictive Control (MPC). A microscopic traffic flow prediction model was used to calculate total travel time (TTT), time to collision (TTC) was used to measure instantaneous safety, and a microscopic fuel consumption model (VT-micro) was used to measure environmental impacts.

Findings

With a 100 percent CV penetration rate, the developed VSL approach consistently outperformed the uncontrolled scenario, reducing total travel time by up to 20 percent.

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Deployment Locations