Application of Entropy Coefficient Optimization Model of Multi-Criteria Decision in Post-Evaluation of Urban Rail Transit

2007 ◽  
Author(s):  
Ping Song ◽  
Qifeng Yang ◽  
Bin Feng
Keyword(s):  
Optimization Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Post Evaluation ◽  
Urban Rail ◽  
Coefficient Optimization

scholarly journals Public Norms in the Operation Scheme of Urban Rail Transit Express Trains: The Case of the Beijing Changping Line

2021 ◽  
Vol 13 (13) ◽  
pp. 7187
Author(s):  
Shenghan Zhou ◽  
Houxiang Liu ◽  
Bo Wang ◽  
Bang Chen ◽  
Yuliang Zhou ◽  
...  
Keyword(s):  
Optimization Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
The Sustainable Development ◽  
Theoretical Support ◽  
Urban Rail ◽  
Load Rate ◽  
Express Train ◽  
Train Operation ◽  
Operation Cost

The development of urban rail transit is of great significance to the sustainable development of cities. However, the formulation of public norms of the urban rail transit train operation scheme lacks the corresponding theoretical support, rationality and scientificity. Therefore, based on the research on passenger flow conditions, this paper establishes an optimization model of express train operation and uses a heuristic genetic algorithm to solve it. In addition, this paper takes the Beijing Changping Line as an example to conduct empirical research. Results show that the optimization model established reduces the operation cost of operating enterprises, improves the capacity of urban rail transit, reduces travel time and maintains the full load rate of trains at a more comfortable level. This will improve the attractiveness of urban rail transit and promote benign interaction between operators and passengers. It will also provide a theoretical basis for formulating public norms of transit train operation, make it more scientific and reasonable and promote the development of urban rail transit.

scholarly journals A Timetable Optimization Model for Urban Rail Transit with Express/Local Mode

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Renjie Zhang ◽  
Shisong Yin ◽  
Mao Ye ◽  
Zhiqiang Yang ◽  
Shanglu He
Keyword(s):  
Waiting Time ◽  
Optimization Model ◽  
Urban Rail Transit ◽  
Local Mode ◽  
Rail Transit ◽  
Long Distance ◽  
Urban Rail ◽  
Proposed Model ◽  
Distance Travel ◽  
Timetable Optimization

Nowadays, an express/local mode has be studied and applied in the operation of urban rail transit, and it has been proved to be beneficial for the long-distance travel. The optimization of train patterns and timetables is vital in the application of the express/local mode. The former one has been widely discussed in the various existing works, while the study on the timetable optimization is limited. In this study, a timetable optimization model is proposed by minimizing the total passenger waiting time at platforms. Further, a genetic algorithm is used to solve the minimization problems in the model. This study uses the data collected from Guangzhou Metro Line 14 and finds that the total passenger waiting time at platforms is reduced by 9.3%. The results indicate that the proposed model can reduce the passenger waiting time and improve passenger service compared with the traditional timetable.

Research on Optimization of Feeder Bus Network Joint for Urban Rail Transit

2013 ◽  
Vol 869-870 ◽  
pp. 256-259
Author(s):  
Ping Hong Wei ◽  
Jie Xiong ◽  
Meng Hao Zhang
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Design Problem ◽  
Urban Rail Transit ◽  
Network Design Problem ◽  
Rail Transit ◽  
Urban Rail ◽  
Feeder Bus ◽  
Bus Network

The feeder bus network design problem is researched in this paper, aiming at connecting with the urban rail transit as well as possible. In solving the problem, a set of process in locating feeder bus routes is presented first, and then an optimization model of determining feeder bus network is established. The genetic algorithm (GA) is used in solving the problem and it is implemented in VC++ language. Finally, a case study is presented based on the existing rail transit line 3 in Dalian, with optimized the feeder bus routes obtained. The result also shows that the model and the algorithm are feasible in solving the problem.

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