PPVF: A Novel Framework for Supporting Path Planning Over Carpooling

• Published in: IEEE access Vol. 7; pp. 10627 - 10643
• Main Authors: Wang, Bin, Zhu, Rui, Zhang, Siting, Zhao, Zheng, Yang, Xiaochun, Wang, Guoren
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Car pools; Crowdsourcing; Economic development; ELM; Passengers; Path planning; Path predictors; path selection; PCR-tree; Planning; Public transportation; Roads; Search algorithms; Task analysis; Taxicabs; Vehicles; Verification

With the rapid development of mobile Internet and sharing economy, carpooling over real-time taxi-calling service has attracted more and more attention. Many popular taxi-calling service platforms, e.g., didi and Uber, have developed carpooling service to the passengers. Their goal is maximizing ove...