Vehicular mobility patterns and their applications to Internet-of-Vehicles: A comprehensive survey

Q Cui, X Hu, W Ni, X Tao, P Zhang, T Chen… - Science China …, 2022 - Springer
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 …

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 …

Predicting collective human mobility via countering spatiotemporal heterogeneity

Z Zhou, K Yang, Y Liang, B Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Human mobility forecasting is the key to energizing considerable mobile computing
services. However, we find that the collective mobility suffers the spatiotemporal …

Tensor Levenberg-Marquardt algorithm for multi-relational traffic prediction

SY Chang, HC Wu, YC Kuan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

ForETaxi: data-driven fleet-oriented charging resource allocation in large-scale electric taxi networks

G Wang, Y Chen, S Wang, F Zhang… - ACM Transactions on …, 2023 - dl.acm.org
Charging processes are the key to promoting electric taxis and improving their operational
efficiency due to frequent charging activities and long charging time. Nevertheless …

REDE: Exploring Relay Transportation for Efficient Last-mile Delivery

W Lyu, H Wang, Z Hong, G Wang… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
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 …

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 …

Trajectory-based clustering for enhanced attractive region mining in urban taxi services

M Toqeer, KU Khan, W Nawaz - International Journal of Digital …, 2024 - Taylor & Francis
Trajectory data, increasingly available due to location tracking technologies, holds immense
potential for intelligent traffic management and urban planning. Traditional'attractive …

LAMD: Enabling Economical and Green Travel for Diversified Mobility on Demand Systems

L Ding, D Zhao, Z Wang, H Ma - IEEE Transactions on Mobile …, 2024 - ieeexplore.ieee.org
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 …

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 …