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Guest Editors:
Zhiyuan Liu, Ph.D., Southeast University, Nanjing, China
The Special Collection on Data-Driven Modelling in Smart and Green Transportation encapsulates the synergy between advanced analytics and sustainable transportation practices. This assembly of research emphasizes the critical role of data in sculpting the future of mobility, from optimizing traffic flow and enhancing safety to integrating autonomous vehicles and multimodal transport systems. Each paper delves into the transformative impact of data-driven strategies on transportation efficiency, the environment, and the socio-economic landscape, signifying a leap towards intelligent, scalable, and environmentally conscious transport solutions. This collection marks a pivotal step in realizing the potential of smart mobility to meet the pressing demands of urbanization and climate change.
Papers in this Collection
Bimodal Traffic Evacuation Management for Road Tunnels Considering Social Fairness: CTM-Based Model
Ruyang Yin, Ph.D.; Nan Zheng, Ph.D.; and
Zhen Zhou
Published online: May 10, 2023
Car-Following Models for Human-Driven Vehicles and Autonomous Vehicles: A Systematic Review
Zelin Wang; Yunyang Shi; Weiping Tong;
Ziyuan Gu; and
Qixiu Cheng
Published online: June 7, 2023
Analysis of Spatiotemporal Factors Affecting Traffic Safety Based on Multisource Data Fusion
Cheng Xu; Zuoming Zhang; Fengjie Fu;
Wenbin Yao;
Hongyang Su;
Youwei Hu; Donglei Rong; and Sheng Jin
Published online: July 26, 2023
New Classification Scheme and Evolution Characteristics Analysis of High-Speed Railway Stations Using Large-Scale Mobile Phone Data: A Case Study in Jiangsu, China
Yifan Yue; Jun Chen;
Tao Feng; Wei Wang; Chunyang Wang; and Xinwei Ma
Published online: September 6, 2023
Prescriptive Analytics for Intelligent Transportation Systems with Uncertain Demand
Huiwen Wang; Wen Yi;
Xuecheng Tian; and Lu Zhen
Published online: September 28, 2023
Insights into Travel Pattern Analysis and Demand Prediction: A Data-Driven Approach in Bike-Sharing Systems
Hongyi Lin; Yixu He; Shen Li; and Yang Liu
Published online: November 20, 2023
A Novel Filtering Method of Travel-Time Outliers Extracted from Large-Scale Traffic Checkpoint Data
Weiwei Qi, Ph.D.; Bin Rao; and Chuanyun Fu, Ph.D.
Published online: November 22, 2023
A Recommender for Personalized Travel Planning Using Stacked Autoencoder in a Multimodal Transportation Network
Qi Zhang; Zihan Zhou; Xu Han; Yingdi Li; and Zhou Jia
Published online: November 24, 2023
An Attention Reinforcement Learning–Based Strategy for Large-Scale Adaptive Traffic Signal Control System
Gengyue Han; Xiaohan Liu;
Hao Wang; Changyin Dong; and Yu Han
Published online: January 3, 2024
Dynamic Systems Modeling and Integrated Transportation Demand-and-Supply Management with a Polynomial Arrival Queue Model
Qixiu Cheng; Yuqian Lin; and Jiawei Lu
Published online: January 27, 2024
Explainable Stacking-Based Learning Model for Traffic Forecasting
Chengyong Chen; Jinghan Liu; Yuexiang Li; and Yan Zhang
Published online: January 29, 2024
Tracking Multiple Vehicles with a Flexible Life Cycle Strategy Based on Roadside LiDAR Sensors
Yuan Ma, Ph.D.; Han Zhang; Cong Du, Ph.D.; Zijian Wang; Yuan Tian, Ph.D.; Xinpeng Yao; Zhiheng Cheng; Songhua Fan; and Jianqing Wu
Published online: February 2, 2024
Vehicle Trajectory Prediction in Expressway Merging Areas Based on Self-Supervised Mechanism
Yuan Ma, Ph.D.; Chuanyi Ma; Chen Lv; Shengtao Zhang;
Yuan Tian; Tao Zhao; Cong Du, Ph.D.; and Jianqing Wu
Published online: February 22, 2024
Exploring Optimal Signal Plans for Isolated Signalized Intersections with Central Pedestrian Refuges
Weijie Chen; Liyang Hu; Kai Huang; Honggang Zhang; Enhui Chen;
Yichang Shao; and Zhirui Ye
Published online: March 8, 2024
A Modeling Method for Complex Traffic Flow on Highways Based on the Fusion of Heterogeneous Data from Multiple Sensors
Shaoweihua Liu; Yunyan Tang; Yiliu He; Junyi Ren; Yujie Zhang; Xi Luo; and Hongyun Yang
Published online: March 26, 2024