Smart Transportation Systems 2023

Chapter 1: Research Progress on Key Technologies of Environmental Perception and Detection of Transport System in Goaf of Coal Mine.- Chapter 2: LSTM-based vehicle trajectory prediction using UAV drone data.- Chapter 3: Dynamic Pricing for Mobile Charging Service Considering Electric Vehicles Spatiotemporal Distribution.- Chapter 4: Guidance method of connected autonomous vehicles under automatic control intersections.- Chapter 5: Multivariate Sequences Clustering for Driving Preferences Classification Based on Wide-range Trajectory Data.- Chapter 6: Optimizing the Deployment of Automated Speed Camera at the Intersections Using GPS Trajectories.- Chapter 7: Examining the effect of speeding patterns on speeding-related harsh decelerations for commercial drivers with survival analysis.- Chapter 8: Research and Application Analysis of Stepwise Incremental fine Model for Speeding Behavior.- Chapter 9: Interaction-Aware Trajectory Prediction for Autonomous Vehicle Based on LSTM-MLP Model.-Chapter 10: Speed Profile Optimization for Energy-saving Operations of Electric Buses. etc.

Yiming Bie is Professor of Transportation Engineering with the School of Transportation, Jilin University, China. He obtained his Ph.D. degree at Jilin University in June 2012. His research interests include public transportation operations, traffic control, and intersection design. He has authored or co-authored over 70 journal articles at top-tier journals such as Transportation Research Part C, Computer-Aided Civil and Infrastructure Engineering, Journal of Transportation Engineering-ASCE. The algorithms developed by him were adopted by the most popular adaptive traffic control system in China and has been implemented to more than 20 cities. Recently, his research is focused on electric bus operations in cold regions. He is Principal Investigator for two projects funded by National Natural Science Foundation of China and a few projects from other funding agencies. In 2019, he was conferred the outstanding reviewer recognition by Journal of Transportation Engineering-ASCE.

Kun Gao is an Assistant Professor in the Urban Mobility Systems research group, Department of Architecture and Civil Engineering. His research focuses on promoting sustainable mobility with focuses on electrification, shared mobility, and connected automation. Special interests are attached to establishing new approaches and tools for system planning, optimization and evaluation of emerging transport systems leveraging big data and machine learning. The overall goal is to facilitate the development of a safer, more sustainable, and equitable transportation system.

Dr. Robert J. Howlett is Executive Chair of KES International, a non-profit organization that facilitates knowledge transfer and the dissemination of research results in areas including Intelligent Systems, Sustainability, and Knowledge Transfer. He is Visiting Professor at Bournemouth University in the UK. His technical expertise is in the use of intelligent systems to solve industrial problems. He has been