2024/09/19 by Grzegorz Jamróz, Jamróz, Grzegorz, Ahmet Onur Akman +7
Engineering · #Advanced Manufacturing and Logistics Optimization #FOS: Computer and information sciences #Multiagent Systems (cs.MA) #Transport and Logistics Innovations #Transportation and Mobility Innovations
paper · pdf · doi:10.48550/arxiv.2409.12839
openalex publication_date 2024/09/19 · openalex created_date 2024/10/25 · openalex updated_date 2026/07/28
Suppose in a stable urban traffic system populated only by human driven vehicles (HDVs), a given proportion (e.g. 10%) is replaced by a fleet of Connected and Autonomous Vehicles (CAVs), which share information and pursue a collective goal. Suppose these vehicles are centrally coordinated and differ from HDVs only by their collective capacities allowing them to make more efficient routing decisions before the travel on a given day begins. Suppose there is a choice between two routes and every day each driver makes a decision which route to take. Human drivers maximize their utility. CAVs might optimize different goals, such as the total travel time of the fleet. We show that in this plausible futuristic setting, the strategy CAVs are allowed to adopt may result in human drivers either benefitting or being systematically disadvantaged and urban networks becoming more or less optimal. Consequently, some regulatory measures might become indispensable.