Multiagent-based route guidance for increasing the chance of arrival on time

• Main Authors: CAO, Zhiguang, GUO, Hongliang, ZHANG, Jie, FASTENRATH, Ulrich
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Multiagent-based Route Guidance; Probability Tail Model; Intelligent Transportation System; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8130; https://ink.library.smu.edu.sg/context/sis_research/article/9133/viewcontent/9893_Article_Text_13421_1_2_20201228.pdf
• Institution: Singapore Management University

Transportation and mobility are central to sustainable urban development, where multiagent-based route guidance is widely applied. Traditional multiagent-based route guidance always seeks LET (least expected travel time) paths. However, drivers usually have specific expectations, i.e., tight or loos...