부산대학교 도서관

Reaching their destination at the lowest cost and the minimum delay is the main drivers’ goal. However, and due to unobservable or partially observed traffic congestion, most of the drivers hardly meet this goal under mono-modality. In this paper, we develop a graph-theoretic framework allowing to find out optimal multi-modal paths considering the driver preference and constraints (time, cost, comfort, etc.) Yet, our Intelligent Transport System (ITS) allows a driver to use his/her own car while traveling. Then, a parking station might be proposed before the driver continues traveling towards the final destination, through other suitable modalities and transportation facilities. This proposed path is mainly multi-modal and includes the best combination of transport-parking modes to reach a given destination. Our early simulation runs show promising results, as the optimal paths combine the three modalities (driving, walking, and riding) to respond to drivers’ mobility requests.