For urban road networks with hazardous materials (hazmat) transportation, a Multi-Objective Sustainable trAffic Control (MOSAC) is proposed in this chapter. A multi-objective stochastic program is proposed to simultaneously minimize total travel delay and reduce maximum risk exposure to all road users. Following Wardrop’s principle, travelers’ route choice is considered. In order to effectively solve the proposed stochastic program, a novel heuristic is proposed. Numerical experiments using a realistic road network are performed to demonstrate the feasibility of proposed approach. For varying traffic conditions, computational comparisons are also made with recently proposed one, indicating that system performance can be greatly improved by MOSAC in all cases.
A Multi-Objective Sustainable Traffic Signal Control for Smart Cities Under Uncertainty
Int.Ser.Operations Res.
17.01.2023
24 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Uncertainty , Multi-objective sustainable traffic control , Stochastic bi-level program , Smart city , Hazmat transportation Production , Supply Chain Management , Operations Management , Sustainable Development , Artificial Intelligence , Social Sciences , Operations Research/Decision Theory , Environment
Multi UAV Based Traffic Control in Smart Cities
IEEE | 2020
|Multi-objective traffic signal control model for traffic management
Taylor & Francis Verlag | 2015
|Multi-objective traffic signal control model for traffic management
Online Contents | 2015
|Priority-Based Adaptive Traffic Signal Control System for Smart Cities
Springer Verlag | 2022
|