Discovering hidden knowledge patterns in trajectory data can help to hunt passengers for
taxi drivers. And it is an important issue in the intelligent transportation domain. However, the …

In the past few years ridesharing has largely reshaped the transportation marketplace. It is
envisioned as a promising solution to transportation-related problems in metropolitan cities …

In this paper, we propose and study a variant of the dynamic ridesharing problem with a
specific focus on peak hours: Given a set of drivers and a set of rider requests, we aim to …

Abstract In recent years, Transportation Network Companies (TNC) such as Uber and Lyft
have embraced ridesharing: a passenger who requests a ride may decide to save money in …

With the continued proliferation of mobile Internet and geo-locating technologies, carpooling
as a green transport mode is widely accepted and becoming tremendously popular …

Ridesharing has been becoming increasingly popular in urban areas worldwide for its low
cost and environmental friendliness. Much research attention has been drawn to the …

With smartphones and geo-locating devices widely used around the world, ridesharing, as a
main application field of spatial crowdsourcing, has been fast expanding its widespread …

为高效利用交通资源, 在线网约出行(ORH) 服务整合车辆供给和乘客请求信息,
派遣符合条件的车辆提供非巡游的出行服务. 人们在享受ORH 服务带来的便利时 …

Ride sourcing services such as Uber and Lyft have become widespread in large cities for
everyday mobility. When matching passengers, these services attempt to optimize cost …

Taxi is a convenient means of transportation worldwide. Accurately predicting the taxi-
demand is crucial for taxi-companies to effectively allocate their fleet to taxi-stands and …