Key technology and application of new generation traction power supply system for rail transit

As the only power source for electric locomotives in rail transit, the safety and reliability of the traction power supply system directly affect the quality and safety of transportation. The main problems of current traction power supply technology in China include uncontrollable power quality, discontinuous train power supply, and difficulty in identifying faults, etc.

Fundamentals of vehicle–track coupled dynamics

A framework was conducted to investigate the dynamics of overall vehicle–track systems with emphasis on theoretical modelling, numerical simulation and experimental validation by Prof. Zhai’s group at the school of Traction Power State Key Laboratory in Southwest Jiaotong University. This research was supported by National Natural Science Foundation of China (NSFC) and National Basic Research Program of China (973 Program).

AutoDwell

Research conducted by Zhaoyuan Wang has proposed a fine-grained, safe, and energy-efficient strategy to improve the efficiency of metro systems by dynamically scheduling dwell time for trains.

System framework

Promoting carpool for sustainable transportation

The past decade brought two major innovations to transportation: connected and autonomous vehicles (CAV) and transportation network companies (TNC) such as Uber and Lyft. The transformative impacts of these innovations have already been felt around the world, and are expected to continue to reshape the transportation industry. In the not-so-distant future, a significant portion of passenger trips may be served by CAVs, of which many would be shared through TNCs. Such a vision projects considerable benefits for the safety, efficiency, and accessibility of travel.

An intelligent manufacturing team won 40 million RMB funds for industry and education integration construction

 A team led by intelligent manufacturing scientist Guofu Ding has received a 40 million RMB (US$5,956,000) grant to further research and building into intelligent manufacturing technologies that can improve manufacturing efficiency and quality. Awarded by the Sichuan government, the funding will support the team’s work over two years.