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农村需求响应式客运系统运力投放研究及行车路径鲁棒优化:以临夏回族自治州为例
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  • ISBN:
    9787564384227
  • 作      者:
    马昌喜,赵永鹏,王超,焦俞端
  • 出 版 社 :
    西南交通大学出版社
  • 出版日期:
    2022-05-01
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目录
Chapter 1 Overview
1.1 Introduction
1.2 Literature review
1.3 Summary
1.4 References

Chapter 2 Development trend of rural passenger transport
2.1 Related concepts
2.2 The current situation of rural passenger transport development
2.3 Problems in the development of rural passenger transport
2.4 Rural passenger transport development policy guidance
2.5 Development trend of rural passenger transport in the new period
2.6 Conclusions of this chapter
2.7 References

Chapter 3 Rural passenger flow analysis
3.1 Source of passenger flow
3.2 Characteristics of rural passenger transport
3.3 Analysis on the influencing factors of rural passenger transport
3.4 Travel characteristics of rural residents
3.5 Passenger flow distribution characteristics of rural passenger transport lines
3.6 Importance of passenger flow collection and distribution points on rural passenger transport lines
3.7 Summary
3.8 References

Chapter 4 Research on the planning and layout methods of rural passenger station
4.1 Planning andlayout principles ofruralpassenger transport stations
4.2 Hierarchy and classification ofrural passenger transport stations
4.3 Site layout method
4.4 Summary
4.5 References

Chapter 5 Research on the capacity allocation of rural passenger transport system
5.1 Rural passenger transport operation mode
5.2 Analysis of influencing factors of rural passenger transport capacity
5.3 Vehicle model allocation
5.4 General Principles for Allocation of Ruml Passenger Transport Capacity
5.5 Basic steps of rural passenger transport capacity allocation
5.6 Research on the capacity allocation scale of rural passenger transport system
5.7 Research on the allocation of the demand-responsive rural passenger transport capacity
5.8 Genetic algorithm
5.9 Chapter summary
5.10 References
……
Chapter 6 Case study on demand-responsive rural passenger transport capacity in the Hui autonomous prefecture of Linxia
Chapter 7 Demand-responsive routing optimization model and algorithm for rural assenger vehicles
Chapter 8 Robust optimization model and algorithm for demand-responsive rural assenger vehicles
Appendix
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