Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …

When demand for transportation is low or highly variable, traditional public bus services tend
to lose their efficiency and typically frustrate (potential) passengers. In the literature, a large …

Ride-sharing services are transforming urban mobility by providing timely and convenient
transportation to anybody, anywhere, and anytime. These services present enormous …

Crowdsourcing is a computing paradigm where humans are actively involved in a
computing task, especially for tasks that are intrinsically easier for humans than for …

The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …

With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

Predicting taxi demand throughout a city can help to organize the taxi fleet and minimize the
wait-time for passengers and drivers. In this paper, we propose a sequence learning model …

Information about urban air quality, eg, the concentration of PM2. 5, is of great importance to
protect human health and control air pollution. While there are limited air-quality-monitor …

Urbanization's rapid progress has modernized many people's lives but also engendered big
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …

In this paper, we propose a citywide and real-time model for estimating the travel time of any
path (represented as a sequence of connected road segments) in real time in a city, based …