Study on the Extraction Method of Sub-Network for Optimal Operation of Connected and Automated Vehicle-Based Mobility Service and Its Implication

There have been enormous efforts to implement automated vehicle-based mobility (AVM) by considering smart infrastructure such as cooperative intelligent transportation system. However, there is lack of consideration on economical approach for an optimal deployment strategy the AVM service and infrastructure. Furthermore, influence travel demand in area has ignored. We develop a new framework maximizing profit connected (CAV-M) using cost modeling metaheuristic optimization algorithm. The proposed extracts sub-network, which selected set links area, identifies construction depending given operational design domain demand. Based network analyses with varying patterns volumes, we observe that sub-network varies combination trip volumes. It also found benefit deploying obtainable only when are sufficient demands. always superior raw terms profit, suggests great potential prioritize road target CAV-M service.