Abstract
With the increasing demand for air transport, the problem of traffic connection between airport and city is becoming more and more severe. Rail transit with the characteristics of speed, punctuality, and larger capacity plays an increasingly significant role in connecting traffic between airport and urban center. From the perspectives of both the passengers and train operators, this paper establishes a multi-objective optimization model of rail transit train operation plan for airport ground transport center (GTC), constructs three objective functions, including passenger waiting time, passenger comfort, and operator income, and develops a genetic algorithm to solve the fuzzy optimal solution of the model. Taking Beijing Rail Transit Airport Line as the research object, this paper validates the proposed model and evaluates the scheme by using typical workday passenger flow data. The results show that our model can provide decision-making basis for the optimization of train dispatch.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Wang A (2014) Study on passenger volume forecasting of airport rail transit. Chang’an University (in Chinese)
Hanhui W (2017) Passenger flow short-time prediction and operation organization of urban rail transit. Chang’an University (in Chinese)
Wang Q, Li F (2003) On the coordination of switching non-rail transport modes to rail transport modes in urban passenger traffic system. J Xi’an Univ Arch Sci Technol (Nat Sci Ed) 35(2):136–139 (in Chinese)
Sigurd L, Pesenti R, Ukovieh W (2004) Scheduling multimodal transportation systems. Eur J Oper Res 155:603–615
Yin H, Wong SC, Xu JN, Wong CK (2002) Urban traffic flow prediction using a fuzzy-neural Approach. Transp Res Part C 10:95–98
Fang Z (2003) Optimization of transit network to minimize transfers. Environmental Engineering college of Florida International University
Cai H (2012) Study on the optimization of urban rail transit train operation organization under networking conditions. Beijing Jiaotong University (in Chinese)
Zhan K, Shi Y, Wang X (2013) Research on optimization of train operation organization efficiency of Guangzhou metro. Railw Transp Economy 6:102–106 (in Chinese)
Huang W (2004) Research on coordination of rail transit and routine public exchange. Chang’an University (in Chinese)
Prabhat SOM (2006) A model for development of optimized feeder routes and coordinated schedules—a genetic algorithms approach. Transp Porous Media 13:413–425
Chen S, He S, He B (2013) Train ervice planning for urban rail Transit with passenger fluctuation. Urban Rail Transit Res 16(10):53–58 (in Chinese)
Wang Y, Ni S (2013) Optimization of train operation plan for urban rail transit large-sized traffic mode. J China Railw Soc 35(07):1–8 (in Chinese)
Yan B (2006) Optimization study on operation organization of urban rail transiy. Southeast University, Nanjing (in Chinese)
Acknowledgements
This work is supported by National Key R&D Program of China (Grant No. 2018YFB1601200).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, Y., Xu, X., Xu, R., Huang, A. (2020). Train Operational Plan Optimization of Rail Transit Connecting to Airport Ground Transport Center. In: Liu, B., Jia, L., Qin, Y., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019. EITRT 2019. Lecture Notes in Electrical Engineering, vol 640. Springer, Singapore. https://doi.org/10.1007/978-981-15-2914-6_63
Download citation
DOI: https://doi.org/10.1007/978-981-15-2914-6_63
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-2913-9
Online ISBN: 978-981-15-2914-6
eBook Packages: EngineeringEngineering (R0)