Welcome to IEEE ICITE2020 | 第五届IEEE智能交通工程国际会议（线上会议）

2020 IEEE 5th International Conference on Intelligent Transportation Engineering (IEEE ICITE2020) | Virtual Conference

!Notification about COVID-19! As the coronavirus(COVID-19) spreads worldwide and taking into account the various circumstances of the participants, this year the conference will be held in full virtual conference. We are creating a customized “ICITE online platform” that is a virtual environment where the attendees can present the papers and can participate in all the sessions that will be organized in a full immersive experience. All keynote, parallel oral sessions, discussions and other activities will be offered in a streaming online . The access to the ICITE online platform will be offered to all the registered attendees. The submission is still open and the registration page is available with new online presentation registration fee. See you on E-ICITE September 11-13, 2020 !

Welcome to the official website of 2020 IEEE 5th International Conference on Intelligent Transportation Engineering (IEEE ICITE2020) . The conference will be held in Grand Gongda Jianguo Hotel, Beijing, China during September 11-13, 2020. ICITE2020 welcomes articles in the field of Intelligent Transportation Engineering, conveying new developments in theory, analytical and numerical simulation and modeling, experimentation, advanced deployment and case studies, results of laboratory or field operational test. ICITE2020 is sponsored by IEEE, co-sponsored by College of Metropolitan Transportation, Beijing University of Technology, China and State Key Lab of Rail Traffic Control & Safety, Beijing Jiaotong University, China. Technical sponsored by Beijing Union University, China; Zhejiang University, China, IEEE VTS Beijing Chapter and Singapore Institute of Electronics.

Intelligent Transportation Engineering is emerging worldwide to make transportation more efficient, reliable, cleaner and safer. ITE is used in road, water, rail and air transportation to collect information about transportation flows from a multitude of sources and manage them effectively, shifting collective traffic and transportation management paradigms towards end user orientation.