Reference
A. Jamshidnejad, H. Hellendoorn, S. Lin, and B. De Schutter, "Smoothening for
efficient solution of model predictive control for urban traffic networks
considering endpoint penalties,"
Proceedings of the 2015 IEEE
18th International Conference on Intelligent Transportation Systems, Las
Palmas de Gran Canaria, Spain, pp. 2837-2842, Sept. 2015.
Abstract
Traffic congestion together with emissions has become a big problem in urban
areas. Traffic-responsive control systems aim to make the best use of the
existing road capacity. Here, we propose a model predictive controller for
urban traffic networks, where the goal of the control is to find a balanced
trade-off between reduction of congestion and emissions. The cost function is
defined as a weighted combination of the total time spent, TTS, (as a criterion
for evaluating the congestion level), the total emissions, TE, and the expected
values of the TTS and TE caused by the vehicles that remain in the network at
the end of the prediction horizon until they leave the network. We propose a
method for estimation of the expected time spent and emissions by the remaining
vehicles, where our method is based on a K Shortest path algorithm. For the
prediction model of the MPC-based controller, we use a macroscopic integrated
flow-emission model that includes the macroscopic flow S-model and the
microscopic emission model, VT-micro. Since the S-model includes non-smooth
functions, it does not allow us to benefit from efficient gradient-based
methods to solve the optimization problem of the MPC-based controller.
Therefore, in this paper we also propose smoothing methods for the S-model.
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BibTeX
@inproceedings{JamDeS:15-026,
author = {Jamshidnejad, Anahita and Hellendoorn, Hans and Lin, Shu and De
Schutter, Bart},
title = {Smoothening for Efficient Solution of Model Predictive Control
for Urban Traffic Networks Considering Endpoint Penalties},
booktitle = {Proceedings of the 2015 IEEE 18th International Conference on
Intelligent Transportation Systems},
address = {Las Palmas de Gran Canaria, Spain},
pages = {2837--2842},
month = sep,
year = {2015}
}