The Impacts of Centralized Control on Mixed Traffic Network Performance: A Strategic Games Analysis

Areti Kotsi (), Ioannis Politis and Evangelos Mitsakis
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Areti Kotsi: School of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Ioannis Politis: School of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Evangelos Mitsakis: Hellenic Institute of Transport, Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece

Sustainability, 2024, vol. 16, issue 15, 1-21

Abstract: Cooperative Intelligent Transport Systems (C-ITS) address contemporary transportation challenges, as Connected Vehicles (CVs) can play a pivotal role in enhancing efficiency and safety. The role of central governing authorities in shaping traffic management policies for CVs influences decision-making processes and system performance. In this work, the role of central governing authorities in the traffic management of a mixed traffic network is examined, integrating System Optimum principles with game theory. More specifically, we introduce and develop a framework that models and analyses the strategic interactions between different stakeholders in a mixed traffic environment, considering central governing authorities with varying levels of control. The results indicate how the various levels of control of a central governing authority may have an impact on the network in terms of traffic measures. Through a strategic games analysis, the trade-offs associated with centralized control mechanisms are demonstrated and recommendations are offered for policymakers and practitioners to optimize traffic management strategies.

Keywords: Connected Vehicles; traffic management; central governing authorities; System Optimum; game theory (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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