About M3NetsWelcome to the group M3Nets (Multi-Modal Mobility Networks) at Beihang University!
The major interest of our group is in the development of efficient and scalable algorithms and analysis techniques for large transportation networks. Our ultimate goal is to contribute to the design of pervasive, intelligent, and efficient cyber-physical infrastructure systems. Relevant research topics include, but are not limited to, network design, machine learning, big data, and complex network science.
- June 4th, 2021: Our survey on
Air Transportation Network Robustnesshas been accepted by the journal Sustainability.
- May 19th, 2021: Weibin's work on
Capacitated Air/Rail Hub Location Problem with Uncertainty: A Model, Efficient Solution Algorithm, and Case Studywas accepted by IEEE Transactions on Intelligent Transportation Systems.
- May 12th, 2021: Our work on
TLQP: Early-stage Transportation Lock-down and Quarantine Problemwas accepted by Transportation Research Part C: Methodological.
- May 3rd, 2021: Yifan's work on
Airline Integrated Robust Scheduling with a Variable Neighborhood Search based Heuristicwas accepted by Transportation Research Part B: Methodological. Congratulations!