Fuzzy Criteria Method of Level of Service for Bus Rapid Transit

被引:0
作者
Huo Y.-Y. [1 ,2 ]
Li W.-Q. [3 ]
Li X.-J. [1 ]
Chen G.-Q. [2 ]
机构
[1] Transportation Institute, Inner Mongolia University, Hohhot
[2] School of Mathematical Science, Inner Mongolia University, Hohhot
[3] School of Transportation, Southeast University, Nanjing
来源
Dongbei Daxue Xuebao/Journal of Northeastern University | 2020年 / 41卷 / 10期
关键词
BRT; Fuzzy criteria; Level of service criteria; Membership; Transit level of service;
D O I
10.12068/j.issn.1005-3026.2020.10.021
中图分类号
学科分类号
摘要
The method of establishing fuzzy levels of service (LOS) criteria for bus rapid transit (BRT) was developed, whose steps included classifying measures, constructing membership matrix and drawing membership function diagrams. Select arrival time, waiting time and bus speed as evaluation indicators. BRT passenger travel surveys were conducted using a self-developed transit travel survey system. Based on the data collected from the surveys, BRT fuzzy LOS criteria were established using the developed method. Some findings were concluded by comparing the hard LOS criteria currently used worldwide:fuzzy LOS criteria eliminate clear boundaries and use membership to reflect to what extent the measures belong to different LOS grades; the changes of LOS due to the changes of measure values can be reflected by continuous changes of membership, thus fuzzy LOS criteria can avoid the shortcomings of the hard LOS criteria. © 2020, Editorial Department of Journal of Northeastern University. All right reserved.
引用
收藏
页码:1509 / 1516
页数:7
相关论文
共 15 条
  • [11] Fang F C, Elefteriadou L, Pecheux K K., Using fuzzy clustering of user perception to define levels of service at signalized intersections, Journal of Transportation Engineering, 129, pp. 657-663, (2003)
  • [12] Bhuyan P K, Mohapatra S S., Affinity propagation clustering in defining level of service criteria of urban streets, Transport, 29, 4, pp. 401-411, (2014)
  • [13] Zhou Kai-le, Theoretical and applied research on fuzzy c-means clustering and its cluster validation, (2014)
  • [14] Cervero R, Kang C D., Bus rapid transit impacts on land uses and land values in Seoul, Korea, Transport Policy, 18, pp. 102-116, (2011)
  • [15] Zhang L, Prevedouros P D., User perceptions of signalized intersection level of service using fuzzy logic, Transportmetrica, 7, pp. 279-296, (2011)