Multi-attribute decision-making method for prioritizing autonomous vehicles in real-time traffic management:  towards active sustainable transport

Abedallah Z. Abualkishik *¹ , Rasha Almajed ² , William Thompson³

^{1 ,2} American University in the Emirates, Dubai, UAE

³ Towson University, Towson University, Maryland's University, USA

Emails: abedallah.abualkishik@aue.ae;  rasha.almajed@aue.ae; wvthompson@towson.edu

Abstract

In order to alleviate traffic congestion, traffic control systems are an important tool. These systems strive to boost the efficiency of road systems to optimize traffic flow on individual road segments. The benefits of real-time traffic control systems might be increased by integrating new telecommunication and autonomous car technology. There is six real-time traffic advancing sustainable development examined in this study: variable message signs and ramp meters, traffic diversion, and the integration of driverless vehicles into other traffic management systems, with four key criteria: economics, community and social, ecologic and traffic security, as well as 13 sub-criteria using MCDM. To do this, we offer unique additions to the WASPAS technique.

Keywords: Autonomous Vehicles; Traffic control; WASPAS; MCDM; Traffic security