Back-Pressure Traffic Signal Control in the Presence of Noisy Queue Information
Paper in proceeding, 2023

In this paper, we consider decentralized traffic signal control policies using the max-weight algorithm when the queue size measurement is noisy. We first show analytically that the standard max-weight algorithm is throughput optimal even under noisy queue measurements. However, the average steady-state queue lengths and subsequently the average delays are increased. In order to alleviate the effect of these noisy measurements we add filtering to the max-weight algorithm; more specifically, we propose the Filtered-max-weight algorithm, which is based on particle filtering. We demonstrate via simulations that the Filtered-max-weight algorithm performs better than the standard max-weight algorithm in the presence of noisy measurements.

noisy

queue

traffic control

Modelling and control of road traffic networks

Scheduling and optimization of transportation systems

traffic flow

back pressure

Technologies for control in transportation

Author

Charalambous Themistoklis

University of Cyprus

Aalto University

Muwahida Liaquat

National University of Sciences and Technology (NUST)

Aalto University

Balázs Adam Kulcsár

Chalmers, Electrical Engineering, Systems and control

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IFAC-PapersOnLine

24058963 (eISSN)

Vol. 56 2 10491-10496

22nd IFAC World Congress
Yokohama, Japan,

Real-Time Robust and AdaptIve Learning in ElecTric VEhicles (RITE)

Chalmers, 2020-01-01 -- 2021-12-31.

Chalmers AI Research Centre (CHAIR), 2020-01-01 -- 2021-12-31.

Subject Categories

Other Computer and Information Science

Communication Systems

Control Engineering

Computer Science

Areas of Advance

Information and Communication Technology

Transport

DOI

10.1016/j.ifacol.2023.10.1068

More information

Latest update

2/23/2024