Reference
L. D. Baskar, B. De Schutter, and H.
Hellendoorn, "Model-based predictive traffic control for intelligent vehicles:
Dynamic speed limits and dynamic lane allocation,"
Proceedings
of the 2008 IEEE Intelligent Vehicles Symposium (IV'08), Eindhoven, The
Netherlands, pp. 174-179, June 2008.
Abstract
We consider traffic management and control approaches for automated highway
systems with a combination of intelligent vehicles and roadside controllers.
The vehicles are organized in platoons with short intraplatoon distances, and
larger distances between platoons. Moreover, all vehicles are assumed to be
automated, i.e., throttle, braking, and steering commands are determined by an
automated on-board controller. Within a platoon the vehicles coordinate their
actions so as to maintain a small but safe intervehicle distance, using
adaptive cruise control methods. Platoon leaders receive speed set-points and
lane change commands from the roadside controller. We propose a model-based
predictive control (MPC) approach to determine appropriate speed limits and
lane allocations for the platoons. In general, this results in mixed-integer
optimization problems. We discuss some methods to solve these problems
suboptimally on-line. The proposed approach is then applied to a simple
simulation example in which the aim is to minimize the total time all vehicles
spend in the network by optimally assigning dynamic speed limits and lane
changes.
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BibTeX
@inproceedings{BasDeS:08-006,
author = {Baskar, Lakshmi Devi and De Schutter, Bart and Hellendoorn,
Hans},
title = {Model-Based Predictive Traffic Control for Intelligent
Vehicles: {Dynamic} Speed Limits and Dynamic Lane Allocation},
booktitle = {Proceedings of the 2008 IEEE Intelligent Vehicles Symposium
(IV'08)},
address = {Eindhoven, The Netherlands},
pages = {174--179},
month = jun,
year = {2008}
}