Abstract
In general, large passenger hubs contain a variety of transportation functional areas. The facility configuration requirements of different functional areas are not the same, and a rational collocation of spatial positions and the number of functional areas will greatly improve the level of service. By analyzing the connotations of the functional area, an optimization objective function was built, based on the average expected passenger walking time, average cross-collision delays [average delay due to collisions between passengers moving in opposing directions] of passengers, and the cost of the hub, with constraint conditions on functional acreage, shape and location, as well as a model of macroscopical layout optimization of hub facilities. A variety of optimization problem-solving methods were compared, and given the features of this model, the genetic algorithm NSGA-II was selected. Finally, this paper gives an example of a three-storey high-speed rail hub, evaluates the hub’s layout scheme, and proves that the model is effective and feasible. Therefore, the research results can be used to evaluate the layout plans of passenger transfer facilities for large hubs, and provide a theoretical foundation for perfecting hub transfer facilities.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bie, Y., Wang, D., Qi, H.: Prediction model of bus arrival time at signalized intersection using GPS data. J. Transp. Eng. 138(1), 12–20 (2012)
Mao, C.Y., Bie, Y.M., Pei, Y.L., Qi, W.W.: Research on safety and static-dynamic legibility of distressed pavement. J. Discrete Dyn. Nat. Soc., 1–7 (2015)
Zhang, L.: Analysis on the Change and Forecast of Passenger Flow of Wuhan-guangzhou High-speed Railway. MS. Central South University, China (2012)
Qu, X., Wang, S.: Long distance commuter lane: a new concept for freeway traffic management. Comput. Aided Civ. Infrastruct. Eng. 30(10), 815–823 (2015)
Qu, X., Ren, L., Wang, S., Oh, E.: Estimation of entry capacity for single-lane modern roundabouts: a case study in Queensland, Australia. J. Transp. Eng. 140(7), 05014002 (2014)
Feng, W.: Research on Key Problems of City’s External Traffic Comprehensive Transfer Hubs System. PD.Southwest Jiaotong University, China (2010)
Qiu, L.L., Gu, B.N.: Analysis of Typical Layout Design in Foreign Integrated Transport Hub. PD. J. Urban Mass Transit, (3), 55–59 (2006)
Kusiak, A., Heragu, S.S.: The facility layout problem. Eur. J. Oper. Res. 29(3), 229–251 (1987)
Lee, K.Y., Roh, M., Jeong, H.S.: An improved genetic algorithm for multi-floor facility layout problems having inner structure walls and passages. Comput. Oper. Res. 32(4), 879–899 (2005)
Aiello, G., Scalia, G.L., Enea, M.: A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding. Expert Syst. Appl. 39(10), 352–358 (2012)
McKendall, A.R., Shang, J., Kuppusamy, S.: Simulated annealing heuristics for the dynamic facility layout problem. Comput. Oper. Res. 33(8), 2431–2444 (2006)
Acknowledgement
This research was financed by the Natural Science Foundation of Zhejiang (No. LY18G030021 & No. LY18E080021).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Mao, C., Bie, Y., Zhou, K., Qi, W. (2019). Study on Macroscopical Layout Optimization Model of Large Passenger Transfer Hub Facilities Based on NSGA-II. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L., Vlacic, L. (eds) Intelligent Interactive Multimedia Systems and Services. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-319-92231-7_40
Download citation
DOI: https://doi.org/10.1007/978-3-319-92231-7_40
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-92230-0
Online ISBN: 978-3-319-92231-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)