Urban anomaly analytics: Description, detection, and prediction

M Zhang, T Li, Y Yu, Y Li, P Hui… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Urban anomalies may result in loss of life or property if not handled properly. Automatically
alerting anomalies in their early stage or even predicting anomalies before happening is of …

Drive2friends: Inferring social relationships from individual vehicle mobility data

J Li, F Zeng, Z Xiao, H Jiang, Z Zheng… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The number of vehicles has increased year by year, especially individual vehicles. In
addition to meeting basic transportation needs, vehicles are expected to serve varied …

ILRoute: A Graph-based Imitation Learning Method to Unveil Riders' Routing Strategies in Food Delivery Service

T Feng, H Yan, H Wang, W Huang, Y Han… - Proceedings of the 29th …, 2023 - dl.acm.org
Pick-up and delivery (PD) services such as online food ordering are playing an increasingly
important role in serving people's daily demands. Accurate PD route prediction (PDRP) is …

[HTML][HTML] Sustainable integration of autonomous vehicles into road networks: ecological and passenger comfort considerations

SM Hosseinian, H Mirzahossein, R Guzik - Sustainability, 2024 - mdpi.com
Autonomous vehicle (AV) technology is rapidly advancing, leading to a sustainable
evolution in transportation. AVs offer the promise of enhanced safety, reduced emissions …

A low cost and effective multi-instance abnormal driving behavior detection system under edge computing

Z Wang, Z Li, Z Li, Y Xu, F Qi, J Kong - Computers & Security, 2023 - Elsevier
The rapid development of intelligent transportation system (ITS) has brought great
convenience to people's life, and also makes various intelligent vehicle services emerge in …

Real Time Classification of Vehicles Using Machine Learning Algorithm on the Extensive Dataset

M Pemila, RK Pongiannan, R Narayanamoorthi… - IEEE …, 2024 - ieeexplore.ieee.org
Vehicle classification (VC) is a prominent research domain within image processing and
machine learning (ML) for identifying vehicle volumes and traffic rule violations. In …

An empirical study of travel behavior using private car trajectory data

H Jiang, Y Zhang, Z Xiao, P Zhao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Currently, an increasing number of private cars drive on roads and produce a massive
volume of trajectory data. These data provide a new opportunity for understanding people's …

Social relationship inference over private vehicle mobility data

J Li, F Zeng, Z Xiao, Z Zheng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The ubiquity of private vehicles with positioning services leaves a great deal of mobility data
in the physical world, which supports abundant mobile applications in the Internet of …

Vehicular edge computing based driver recommendation system using federated learning

J Vyas, D Das, SK Das - … Conference on Mobile Ad Hoc and …, 2020 - ieeexplore.ieee.org
Driver Stress and Behavior prediction is a significant feature of the Advanced Driver
Assistance System. This system can improve driving safety by alerting the driver to the …

Resource optimization in smart electronic health systems using IoT for heart disease prediction via feedforward neural networks

H Li, Y Xia Dou - Cluster Computing, 2025 - Springer
Smart healthcare is the result of recent developments in cloud computing, artificial
intelligence (AI), and the Internet of Things (IoT). These technologies have replaced the …