Metro systems in megacities such as Beijing, Shenzhen and Guangzhou are under great passenger demand pressure. During peak hours, it is common to see oversaturated conditions (i.e., exceeds network capacity), which bring significant operational risks safety issues. A popular control intervention restrict the entering rate during hours by setting up out-of-station queueing with crowd barriers. T...

Wireless sensor networks provide a prominent approach for environmental monitoring system in many different scenarios. Typically, sensors communicate through a mesh network architecture, in which each device functions also as a relay for other devices. The usage of multi-hop wireless paths raises the challenge of achieving robust communication and low energy consumption while optimizing the sys...

Although many studies have explored the relationship between built environment and metro ridership, literature offers limited evidence on nonlinear effect of origin destination environments station-to-station ridership. Using data from Chongqing, this study uses gradient boosting decision trees (GBDT) model to explore impact The research results show that at has a greater ridership than destina...

Passenger flow modeling and station dwelling time estimation are significant elements for railway mass transit planning, but system operators usually have limited information to model the passenger flow. In this paper, an artificial-intelligence technique known as fuzzy logic is applied for the estimation of the elements of the origin-destination matrix and the dwelling time of stations in a ra...

In this paper, taking Hangzhou Metro Line 1 Wulin Square Station for example, we dynamically optimize the opening number of the entrance ticket windows at the station based on Anylogic pedestrian library, and study the impact of some parameters e.g. the pedestrian arrival rate and the opening number of the ticket windows in peak and off-peak periods, etc., on the average queuing number and util...