Vehicle-class Specific Route-guidance of Freeway Traffic by Model-predictive Control

Vehicle-class Specific Route-guidance of Freeway Traffic by Model-predictive Control

Schreiter, T.
Landman, R.L.
Van Lint, J.W.C.
Hegyi, A.
Hoogendoorn, S.P.

Civil Engineering and Geosciences

Transport & Planning

2012-01-22

Few Active Traffic Management measures proposed in the past consider the distinction of different vehicle classes. Examples of vehicle-class specific measures are truck lanes and high-occupancy/toll (HOT) lanes. We propose that the distinction of different vehicle classes, with different flow characteristics and societal and economic function, can contribute to the effectiveness of traffic management measures. In this paper, we develop a multi-class controller that reroutes the traffic class-specifically dependent on the vehicle class. The vehicle-class specific properties such as vehicle length and value of time are used in a model-predictive control approach to optimize the total time spent and the economic costs. Experiments in a simple network with synthetic data show that a multi-class controller outperforms a single-class controller. We further show that the value of time and the incident strength have an influence on which vehicle class is rerouted by the multi-class controller.

http://resolver.tudelft.nl/uuid:a0bc67d6-d519-443b-8272-a5664317db27

Transportation Research Board

91st Annual Meeting Transportation Research Board, Washington, USA, 22-26 January 2012; Authors version

Institutional Repository

conference paper

(c) 2012 The Author(s)
TRB