Limin Jia, Xuelei Meng, Yong Qin

Train Operation in Emergencies (eBook, PDF)

• Format: PDF

Produktbeschreibung

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 138
• Erscheinungstermin: 10. Mai 2017
• Englisch
• ISBN-13: 9789811045974
• Artikelnr.: 53036640

Autorenporträt

Limin Jia is a Professor at Beijing Jiaotong University. He is also the Chair Professor of China State Key Laboratory of Railway Traffic Control and Safety and Chief Scientist of China Collaborative Innovation Center for Rail Safety . He is the Chairman of the RITS (Railway Intelligent Transportation System) Committee of China Society of Intelligent Transportation Systems, and Chairman of the Committee of Electrical and Information Technologies for Rail Transportation of China Electrical Technology Association, as well as the Vice Chairman of the Intelligent Automation Committee of China Automation Association.

Xuelei Meng is an Associate Professor at Lanzhou Jiaotong University and a member of the RITS (Railway Intelligent Transportation System) Committee of China Society of Intelligent Transportation Systems.

Yong Qin is a Professor at Beijing Jiaotong University. He is also the Associate Director of China State Key Laboratory of Railway Traffic Control and Safety. He is the Vice Chairman and Secretary General of the RITS (Railway Intelligent Transportation System) Committee of China Society of Intelligent Transportation Systems , while also serving as Vice Chairman and Secretary General of Committee of Electrical and Information Technologies for Rail Transportation of China Electrical Technology . He is a member of the IEEE's Intelligent Traffic and Reliability Committee, and of the American System Security Association.

Inhaltsangabe

Introduction.- Theories on train operation in emergencies.- Transport organization modes in emergencies.- Calculation of railway transport capacity in an emergency based on Markov Process.- Line planning in emergencies for railway network.- Train re-pathing in Emergencies Based on Fuzzy linear programming.- Train re-scheduling based on an improved fuzzy linear programming model.