Session Ⅰ- Intelligent Connected Traffic Behavior and Safety（DDL：2024.05.30）

Chair: Prof. Haijian Li, Beijing University of Technology, China

Chair: Prof. Quan Yuan, Tsinghua University, China

Keywords:

· Traffic behavior

· Driving behavior

· Travel behavior

· Traffic safety

· Intelligent connected vehicle

· Cooperative vehicle-infrastructure system

Summary: 

This topic focuses on the influence mode of vehicle-road collaboration and intelligent connected vehicles and other technologies on traffic behavior in the field of intelligent transportation, explores the transformation and improvement of new intelligent transportation technologies on travel behavior, driving behavior and passenger behavior, and makes a comprehensive evaluation and analysis of traffic safety, and discusses the impact of new technologies on traffic system safety.

Topic: Traffic behavior and safety

Session Ⅱ - Collaborative Perception and Intelligent Operation of Smart Transportation（DDL：2024.04.30）

Chair: Prof. Jianqing Wu, Shandong University, China

Keywords:

· Collaborative Perception

· Intelligent Operation

· Traffic Conflicts

· Traffic Data Fusion

· Path Optimization

· Data-Driven

Summary:

In recent years, researchers and technicians in the field of Perception and Operation of Smart Transportation have made significant innovations, both in theoretical methods and engineering practices. With the background of artificial intelligence, theories of information fusion and methods of data-driven operation for transportation have continuously developed. Simultaneously, many technological projects in this domain have been funded by government like the Ministry of Transport and the National Natural Science Foundation, resulting in a collection of innovative achievements, and leading the technological frontier.

To timely summarize the developments, experiences, and recent advances in theoretical methods and engineering technology practices in the field of Smart Transportation, we initiated the "Smart Transportation Collaborative Perception and Intelligent Operation and Maintenance" session. The aim is to comprehensively analyze the development and achievements on frontier research in the field of collaborative perception and intelligent operation, while forecasting future trends and major directions of smart transportation. This session covers various domains, such as Collaborative perception of vehicle-road information, Fusion of data from multiple sources, Management of traffic conflicts, Path optimization of vehicles, Intelligent detection of diseases in transportation infrastructure, Date-driven evaluation of transportation infrastructure performance, Scientific decision-making in infrastructure management and maintenance. This session is expected to promote the research and application of collaborative perception and intelligent operation technologies in the field of smart transportation. Further, scholars and engineers can facilitate the translation and promotion of scientific and technological achievements, and further promote the construction of transportation in China.

Topics: 

· Collaborative perception of vehicle-road information

· Fusion of traffic data from multiple sources

· Management of traffic conflicts

· Path optimization of vehicles

· Intelligent detection of diseases in transportation infrastructure

· Data-driven evaluation of transportation infrastructure performance

· Scientific decision-making in infrastructure management and maintenance

Session Ⅲ - New Generation Multi-mode Transportation System and Optimization（DDL：2024.06.30）

Chair: Prof. Jiancheng Weng, Beijing University of Technology,  China

Keywords:

· Multi-mode travel behavior

· Future urban traffic intelligent management

· Public transport evaluation and optimization

· Integrated transportation system technology

· Intelligent comprehensive hub operation

Summary:

With the continuous development of smart cities and intelligent transportation systems, the evolution of new technologies such as big data, AI, autonomous driving, machine learning and cross-modal data based intelligent recognition, the construction, integration and optimization technology of multi-mode transportation system for future travel, as well as the modeling of travel behavior under the new generation transportation systems, will efficiently enhance the intelligent management and control level of future transportation systems. It is of great significance to improve the operation efficiency of traffic system. This session welcomes all related academic papers focus on the future urban intelligent traffic management, transportation travel services, transportation optimization, intelligent operation and service optimization of integrated transportation hubs and welcomes the researchers to participate in the conference communication.

Topic: Multi-mode transportation system development and optimization