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A survey of traffic prediction: from spatio-temporal data to intelligent transportation
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 …
efficient. With the development of mobile Internet and position technologies, it is reasonable …
A survey on demand-responsive public bus systems
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 …
to lose their efficiency and typically frustrate (potential) passengers. In the literature, a large …
On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment
Ride-sharing services are transforming urban mobility by providing timely and convenient
transportation to anybody, anywhere, and anytime. These services present enormous …
transportation to anybody, anywhere, and anytime. These services present enormous …
Spatial crowdsourcing: a survey
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 …
computing task, especially for tasks that are intrinsically easier for humans than for …
Trajectory data mining: an overview
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 …
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …
Mobile crowd sensing and computing: The review of an emerging human-powered sensing paradigm
With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …
Real-time prediction of taxi demand using recurrent neural networks
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 …
wait-time for passengers and drivers. In this paper, we propose a sequence learning model …
Real-time city-scale ridesharing via linear assignment problems
In this paper, we propose a novel, computational efficient, dynamic ridesharing algorithm.
The beneficial computational properties of the algorithm arise from casting the ridesharing …
The beneficial computational properties of the algorithm arise from casting the ridesharing …
U-air: When urban air quality inference meets big data
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 …
protect human health and control air pollution. While there are limited air-quality-monitor …
Urban computing: concepts, methodologies, and applications
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 …
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …