Real-time seat allocation for minimizing boarding/alighting time and improving quality of service and safety for passengers

Yazdani, Danial1; Omidvar, Mohammad Nabi2; Deplano, Igor3; Lersteau, Charly3; Makki, Ahmed3; Wang, Jin3; Trung Thanh Nguyen3

2019-06

10.1016/j.trc.2019.03.014

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES   影响因子和分区

0968-090X

Rail is considered as one of the most important ways of transferring passengers. High passenger loads has implications on train punctuality. One of the important parameters affecting punctuality is the average boarding/alighting time. Organizing boarding/alighting flows not only reduces the risk of extended dwell time, but also minimizes the risk of injuries and improves the overall service quality. In this paper, we investigate the possibility of minimizing the boarding/ alighting time by maintaining a uniform load on carriages through systematic distribution of passengers with flexible tickets, such as season or anytime tickets where no seat information are provided at the time of reservation. To achieve this, the proposed algorithm takes other information such as passenger final destination, uniform load of luggage areas, as well as group travelers into account. Moreover, a discrete event simulation is designed for measuring the performance of the proposed method. The performance of the proposed method is compared with three algorithms on different test scenarios. The results show the superiority of the proposed method in terms of minimizing boarding/alighting time as well as increasing the success rate of assigning group of seats to group of passengers.

Seat allocation Discrete event simulation Heuristics Optimization Rail system Transportation

SCI ; EI

英语

第一

Program for University Key Laboratory of Guangdong Province[2017KSYS008]

Transportation

Transportation Science & Technology

WOS:000471361900010

PERGAMON-ELSEVIER SCIENCE LTD

20191606802979

Discrete event simulation ; Optimization ; Transportation

Optimization Techniques:921.5

ENGINEERING

Web of Science

1.Southern Univ Sci & Technol, Shenzhen Key Lab Computat Intelligence, Univ Key Lab Evolving Intelligent Syst Guangdong, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China
2.Univ Birmingham, Sch Comp Sci, CERCIA, Birmingham B15 2TT, W Midlands, England
3.Liverpool John Moores Univ, Dept Maritime & Mech Engn, Liverpool Logist Offshore & Marine Res Inst, Liverpool L3 3AF, Merseyside, England

Yazdani, Danial,Omidvar, Mohammad Nabi,Deplano, Igor,et al. Real-time seat allocation for minimizing boarding/alighting time and improving quality of service and safety for passengers[J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,2019,103:158-173.

Yazdani, Danial.,Omidvar, Mohammad Nabi.,Deplano, Igor.,Lersteau, Charly.,Makki, Ahmed.,...&Trung Thanh Nguyen.(2019).Real-time seat allocation for minimizing boarding/alighting time and improving quality of service and safety for passengers.TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,103,158-173.

Yazdani, Danial,et al."Real-time seat allocation for minimizing boarding/alighting time and improving quality of service and safety for passengers".TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES 103(2019):158-173.