Research on multi‐train energy saving optimization based on cooperative multi‐objective particle swarm optimization algorithm

[1]  Clive Roberts,et al.  Single-Train Trajectory Optimization , 2013, IEEE Transactions on Intelligent Transportation Systems.

[2]  Maite Pena-Alcaraz,et al.  Optimal underground timetable design based on power flow for maximizing the use of regenerative-braking energy , 2012 .

[3]  Xiang Li,et al.  A Two-Objective Timetable Optimization Model in Subway Systems , 2014, IEEE Transactions on Intelligent Transportation Systems.

[4]  Phil Howlett,et al.  A new look at the rate of change of energy consumption with respect to journey time on an optimal train journey , 2016 .

[5]  A Nasri,et al.  Timetable optimization for maximum usage of regenerative energy of braking in electrical railway systems , 2010, SPEEDAM 2010.

[6]  Hong Kam Lo,et al.  An energy-efficient scheduling and speed control approach for metro rail operations , 2014 .

[7]  Clive Roberts,et al.  A Multiple Train Trajectory Optimization to Minimize Energy Consumption and Delay , 2015, IEEE Transactions on Intelligent Transportation Systems.

[8]  Yun Wei,et al.  Analysis of energy consumption reduction in metro systems using rolling stop-skipping patterns , 2019, Comput. Ind. Eng..

[9]  Hoay Beng Gooi,et al.  Increasing the Regenerative Braking Energy for Railway Vehicles , 2014, IEEE Transactions on Intelligent Transportation Systems.

[10]  Ziyou Gao,et al.  Bi-objective nonlinear programming with minimum energy consumption and passenger waiting time for metro systems, based on the real-world smart-card data , 2018 .

[11]  Xiang Li,et al.  A Cooperative Scheduling Model for Timetable Optimization in Subway Systems , 2013, IEEE Transactions on Intelligent Transportation Systems.

[12]  Fei-Yue Wang.  Scanning the Issue and Beyond: Crowdsourcing for Field Transportation Studies and Services , 2015, IEEE Trans. Intell. Transp. Syst..

[13]  Masafumi Miyatake,et al.  Energy Saving Speed and Charge/discharge Control of a Railway Vehicle with On-board Energy Storage by Means of an Optimization Model , 2009 .

[14]  Xiang Li,et al.  A Survey on Energy-Efficient Train Operation for Urban Rail Transit , 2016, IEEE Transactions on Intelligent Transportation Systems.

[15]  Tin Kin Ho,et al.  Dwell-time and run-time control for DC mass rapid transit railways , 2007 .

[16]  Ziyou Gao,et al.  Energy-saving operation approaches for urban rail transit systems , 2019, Frontiers of Engineering Management.

[17]  Xiang Li,et al.  An energy-efficient scheduling approach to improve the utilization of regenerative energy for metro systems , 2015 .

[18]  Ziyou Gao,et al.  Train Timetable Problem on a Single-Line Railway With Fuzzy Passenger Demand , 2009, IEEE Transactions on Fuzzy Systems.

[19]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..