[PDF][PDF] A review of travel and arrival-time prediction methods on road networks: classification, challenges and opportunities

A Abdi, C Amrit - PeerJ Computer Science, 2021 - peerj.com
Transportation plays a key role in today's economy. Hence, intelligent transportation systems
have attracted a great deal of attention among research communities. There are a few …

Signal-control refined dynamic traffic graph model for movement-based arterial network traffic volume prediction

M Xu, TZ Qiu, J Fang, H He, H Chen - Expert Systems with Applications, 2023 - Elsevier
Forecasting the forthcoming intersection movement-based traffic volume enables adaptive
traffic control systems to dynamically respond to the fluctuation of traffic demands. In this …

Integrated ANN-Bayes-based travel time prediction modeling for signalized corridors with probe data acquisition paradigm

W Lin, H Wei, D Nian - Expert systems with applications, 2022 - Elsevier
Travel time is a major information in support of Transportation System Management and
Operations (TSMO). Accurate travel time information extracted from probe data sources …

Deep learning enabled vehicle trajectory map‐matching method with advanced spatial–temporal analysis

Z Liu, J Fang, Y Tong, M Xu - IET Intelligent Transport Systems, 2020 - Wiley Online Library
Global positioning system (GPS) trajectory map matching projects GPS coordinates to the
road network. Most existing algorithms focus on the geometric and topological relationships …

An intelligent adaptive spatiotemporal graph approach for GPS-data-based travel-time estimation

M Xu, J Fang, Y Tong - IEEE Intelligent Transportation Systems …, 2022 - ieeexplore.ieee.org
Existing real-world travel-time estimation applications face the crucial challenge of
inferencing spatiotemporal traffic status propagation over complex and irregular networks …

The impact of time aggregation and travel time models on time-dependent routing solutions

R Jaballah, R Ramalho, J Renaud… - … Information Systems and …, 2023 - Taylor & Francis
Traffic and congestion have a big impact on the performance of transportation systems.
Travel time models are required to calculate trip durations and arrival times when traffic …

Ambulance travel time estimation using spatiotemporal data

MA Abid, F Lorig, J Holmgren, J Petersson - Procedia Computer Science, 2024 - Elsevier
Ambulance travel time estimations play a pivotal role in ensuring timely and efficient
emergency medical care by predicting the duration for an ambulance to reach a specific …

Internet of vehicles data-oriented arterial travel time estimation framework with dynamic multigraph model

TZ Qiu, M Xu, J Fang - IEEE Intelligent Transportation Systems …, 2023 - ieeexplore.ieee.org
The rapid development of Internet of Vehicles (IoV) data powers various online intelligent
transportation applications, such as network travel time reporting. However, the accuracy …

A map-matching algorithm with extraction of multi-group information for low-frequency data

J Fang, X Wu, D Lin, M Xu, H Wu… - IEEE Intelligent …, 2022 - ieeexplore.ieee.org
The growing use of probe vehicles generates a huge number of global navigation satellite
systems (GNSS) data. Limited by satellite positioning technology, further improving the …

Predictive modeling of charge levels for battery electric vehicles using CNN EfficientNet and IGTD algorithm

S Choi, C Fang, D Haddad, M Kim - arXiv preprint arXiv:2206.03612, 2022 - arxiv.org
Convolutional Neural Networks (CNN) have been a good solution for understanding a vast
image dataset. As the increased number of battery-equipped electric vehicles is flourishing …