Yihui Wang

TL;DR: In this article, a pseudospectral method is used to solve the problem of train optimal control under constraints and fixed arrival time, where the objective function is a trade-off between the energy consumption and the riding comfort.

TL;DR: An event-driven model that involves three types of events, i.e., departure events, arrival events, and passenger arrival rates change events is proposed that can be used to solve the train scheduling problem for an urban rail transit network.

TL;DR: A train regulation approach is proposed to use the dwell time supplements sufficiently, where the dwell times for train services in the off-peak hours are shortened due to the small number of boarding and alighting passengers, which can reduce the energy consumption of the metro line.

TL;DR: Three solution approaches are proposed to solve the resulting multi-objective mixed-integer nonlinear programming (MINLP) problem to deliver both an irregular train schedule and a rolling stock circulation plan simultaneously and an approximated MILP approach is proposed to reduce the number of constraints introduced by passenger demand.

TL;DR: In this article, a solution approach to the optimal train control model is introduced, which is used to design the Optimal Train Control Simulator(OTCS), and the performance of some important energy-efficient system design strategies is investigated to reduce the trains' traction energy consumption, including reduction of the train mass, improvement of the kinematic resistance, the design of the energy-saving gradient, increasing the maximum traction and braking forces, introducing regenerative braking and timetable optimization.