Vehicular mobility patterns and their applications to Internet-of-Vehicles: A comprehensive survey
With the growing popularity of the Internet-of-Vehicles (IoV), it is of pressing necessity to
understand transportation traffic patterns and their impact on wireless network designs and …
understand transportation traffic patterns and their impact on wireless network designs and …
Foresee urban sparse traffic accidents: A spatiotemporal multi-granularity perspective
Z Zhou, Y Wang, X Xie, L Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Traffic accident has become a significant health and development threat with rapid
urbanizations. An accurate urban accident forecasting enables higher-quality police force …
urbanizations. An accurate urban accident forecasting enables higher-quality police force …
Predicting collective human mobility via countering spatiotemporal heterogeneity
Human mobility forecasting is the key to energizing considerable mobile computing
services. However, we find that the collective mobility suffers the spatiotemporal …
services. However, we find that the collective mobility suffers the spatiotemporal …
Tensor Levenberg-Marquardt algorithm for multi-relational traffic prediction
Traffic prediction serves as a crucial role in intelligent transportation systems for applications
including routing planning and traffic control. With the advances of sensor technologies and …
including routing planning and traffic control. With the advances of sensor technologies and …
ForETaxi: data-driven fleet-oriented charging resource allocation in large-scale electric taxi networks
Charging processes are the key to promoting electric taxis and improving their operational
efficiency due to frequent charging activities and long charging time. Nevertheless …
efficiency due to frequent charging activities and long charging time. Nevertheless …
REDE: Exploring Relay Transportation for Efficient Last-mile Delivery
Last-mile delivery from delivery stations to customers' places is now mainly finished by
dedicated couriers. In practice, each courier generally collects orders destined for one …
dedicated couriers. In practice, each courier generally collects orders destined for one …
IoT Route Planning based on Spatiotemporal Interactive Attention Neural Network
L Zhang, X Zhu, J Ma - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Millions of interconnected Internet of Things (IoT) sensors and devices collect tremendous
amounts of data from real-world traffic scenarios. Route planning with IoT network could …
amounts of data from real-world traffic scenarios. Route planning with IoT network could …
Trajectory-based clustering for enhanced attractive region mining in urban taxi services
Trajectory data, increasingly available due to location tracking technologies, holds immense
potential for intelligent traffic management and urban planning. Traditional'attractive …
potential for intelligent traffic management and urban planning. Traditional'attractive …
LAMD: Enabling Economical and Green Travel for Diversified Mobility on Demand Systems
The diversified mobility on demand (MoD) systems integrate both traditional fuel vehicles
and green transportation tools (eg shared bicycles and shared e-bikes), which can not only …
and green transportation tools (eg shared bicycles and shared e-bikes), which can not only …
Taxi driver's learning curves: An empirical analysis
Y Kim - Transportation research part A: policy and practice, 2022 - Elsevier
This study aims to understand the dynamic change in individual taxi drivers' performance in
terms of income and passenger-search performance. We analyzed the global positioning …
terms of income and passenger-search performance. We analyzed the global positioning …