Optimization and scheduling for a large scale urban transportation system in a fast-changing world
Abstract
This paper proposes a set of technological solutions to transform existing transport systems into more intelligent, interactive systems by utilizing optimization and control methods that can be implemented in the near future. This will result in improved public services and quality of life for residents. Three application scenes that are closely related to people's daily life are discussed. We first propose a traffic light scheduling strategy using a model predictive control (MPC) method, with the aim of fairly minimizing delays for both pedestrians and vehicles. Then, a combined dispatching-operation system is proposed to increase control flexibility, with a corresponding implementation solution for boarding control. Finally, a possible scheme to combine both public transport and autonomous vehicle systems is proposed to improve existing public transport systems.
Cite
@article{arxiv.2301.12087,
title = {Optimization and scheduling for a large scale urban transportation system in a fast-changing world},
author = {Yi Zhang},
journal= {arXiv preprint arXiv:2301.12087},
year = {2023}
}
Comments
The Intelligent Transportation Systems Society (ITSS) held a competition in 2021 on the theme "Shape the Future of ITS," asking contestants to present their ideas for transportation systems of the future, what they will look like, and the products and services they will offer. This paper has won the third prize of this competition