Data Science for Transportation

Revisiting the Non-recurrent Traffic Incident Identification Problem for Real-Time Applications Using Theory-Aware Unsupervised Learning

Katerina Ν. Papadatou, Panagiotis Fafoutellis, Eleni I. Vlahogianni

Vol. 7, No. 220250

Data Science in Transportation Networks with Graph Neural Networks: A Review and Outlook

Jiawei Xue, Ruichen Tan, Jianzhu Ma

Vol. 7, No. 220250

TUMDOT–MUC: Data Collection and Processing of Multimodal Trajectories Collected by Aerial Drones

Alexander Kutsch, Martin Margreiter, Klaus Bogenberger

Reinforcement Learning for Efficient Bus Priority Systems: Balancing Transit Efficiency and Traffic Impact

Emmanouil Ph. Kampitakis, Konstantinos Katzilieris, Eleni I. Vlahogianni

A Comparative Study Using Generalized Ordered Probit, Stacking Ensemble, and TabNet: Application to Determinants of Pedestrian Crash Severity

Amir Rafe, Mohammad Ali Arman, Patrick A. Singleton

Interpretable Representation and Customizable Retrieval of Traffic Congestion Patterns Using Causal Graph-Based Feature Associations

Tin T. Nguyen, Simeon C. Calvert, Guopeng Li

Macroscopic Traffic Modeling Using Probe Vehicle Data: A Machine Learning Approach

Ling Jin, Xiaodan Xu, Yuhan Wang

Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review

Talha Azfar, Jinlong Li, Hongkai Yu

Vol. 6, No. 120240

An Imputation-Enhanced Hybrid Deep Learning Approach for Traffic Volume Prediction in Urban Networks: A Case Study in Dresden

Peng Yan, Zirui Li, Jyotirmaya Ijaradar

Performing Sentiment Analysis Using Natural Language Models for Urban Policymaking: An analysis of Twitter Data in Brussels

Floriano Tori, Sara Tori, Imre Keserü

Variational Autoencoders and Generative Adversarial Networks for Multivariate Scenario Generation

Michele Carbonera, Michele Ciavotta, Enza Messina

TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data

Piergiorgio Vitello, Claudio Fiandrino, Richard Dominic Connors