Guest Editors:
Dr. Shriniwas Arkatkar, Associate Professor, Sardar Vallabhbhai National Institute of Technology
Dr. Said M. Easa, Professor, Toronto Metropolitan University

Transportation data are needed by traffic engineers, highway planners, and others for traffic engineering studies, long‐range planning, and real‐time monitoring of transportation facilities. However, data collection techniques, quantities, analysis procedures, and presentations have significantly changed during the past two decades, primarily due to capabilities resulting from new technologies. This special collection aims to bring together the latest research and advances in the state of practice on transportation data collection and analysis. The collection includes 11 papers covering travel and driver behaviors, traffic operations, active transportation, and modelling using big data/deep learning.

Papers in this Collection

A Car-Following Model Considering Driver’s Instantaneous Reaction Delay in Nonlane-Based Traffic Environments
Sanhita Das, Ph.D.; and Akhilesh Kumar Maurya, Ph.D.
Published online: June 03, 2022

Smart Real-Time Vehicle Detection and Tracking System Using Road Surveillance Cameras
Ahmad H. Alomari, Ph.D.; and Enas Abu Lebdeh
Published online: July 20, 2022

Personalized Modeling of Travel Behaviors and Traffic Dynamics
Cheng Lyu; Yang Liu; Liang Wang; and Xiaobo Qu, A.M.ASCE
Published online: August 08, 2022

Measuring the Built Walking Environment through Image Calibration Using a Hybrid Audit Approach
Dipanjan Nag, Ph.D.; and Arkopal K. Goswami, Ph.D.
Published online: August 25, 2022

Analyzing the Effect of Distractions and Impairments on Young Driver Safety Using Naturalistic Driving Study Data
Nipjyoti Bharadwaj, Ph.D.; Praveen Edara, Ph.D.; and Carlos Sun, Ph.D.
Published online: October 25, 2022

Driver Behavior on Exit Freeway Ramp Terminals Based on the Naturalistic Driving Study
Mohannad Alyamani; and Yasser Hassan
Published online: October 29, 2022

Analyzing Overnight Parking Demand Characteristics Using City-Scale Automatic Vehicle Identification Data in Shanghai, China
Huahui Xie; Zhi Yu; Zhaocheng He; Kaiying Chen; Jiuping Liu; and Wenming Xie
Published online: October 31, 2022

Framework of Big Data and Deep Learning for Simultaneously Solving Space Allocation and Signal Timing Problem
Khaled Assi, Ph.D.; Nedal Ratrout, Ph.D.; Ibrahim Nemer, Ph.D.; Syed Masiur Rahman, Ph.D.; and Arshad Jamal
Published online: November 7, 2022

Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification
Armstrong Aboah; Yaw Adu-Gyamfi; Senem Velipasalar Gursoy; Jennifer Merickel; Matt Rizzo; and Anuj Sharma
Published online: December 29, 2022

An Automated Process for Identification of Bottlenecks in the Traffic System Using Large Data Sets
Ellen F. Grumert; and Johan Olstam
Published online: December 29, 2022

Privacy Protection Method for Cellular Signaling Data Based on Genetic Algorithm
Hua Chen, Ph.D.; Ming Cai; and Xiong Chen
Published online: January 28, 2023

Joint Optimization of Bus Scheduling and Targeted Bus Exterior Advertising
Zhitao Hu; Di Huang, Ph.D.; and Shuaian Wang, Ph.D.
Published online: February 21, 2023

A Causal Inference–Based Speed Control Framework for Discretionary Lane-Changing Processes
Zhen Zhou; Yi Zhao; Minghao Li; and Yuyang Bao
Published online: May 27, 2023

Ridership Prediction of Urban Rail Transit Stations Based on AFC and POI Data
Zhenjun Zhu; Yong Zhang; Shucheng Qiu; Yunpeng Zhao; Jianxiao Ma; and Zhanpeng He
Published online: June 17, 2023