[1] He Ding, Ni Fujian, Yang Shunxin,. Evaluation model for freeway incident management system [J]. Journal of Southeast University (English Edition), 2010, 26 (1): 126-131. [doi:10.3969/j.issn.1003-7985.2010.01026]
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Evaluation model for freeway incident management system(
)
高速公路事件管理系统评价模型
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 26
- Issue:
- 2010 1
- Page:
- 126-131
- Research Field:
- Traffic and Transportation Engineering
- Publishing date:
- 2010-03-30
Info
- Title:
- Evaluation model for freeway incident management system
- 高速公路事件管理系统评价模型
- Author(s):
- He Ding, Ni Fujian, Yang Shunxin
- School of Transportation, Southeast University, Nanjing 210096, China
- Keywords:
- freeway incident management system; evaluation model; analytical hierarchical process; fuzzy comprehensive evaluations; partial least square
- 高速公路事件管理系统; 评价模型; 层次分析法; 模糊聚合评价; 偏最小二乘法
- PACS:
- U491.31
- DOI:
- 10.3969/j.issn.1003-7985.2010.01026
- Abstract:
- In order to evaluate the general situation and find special problems of the freeway incident management system, an evaluation model is proposed. First, the expert appraisal approach is used to select the primary evaluation index. As a result, 81 indices and the hierarchical structures of the index such as the object layer, the sub-object layer, the criterion layer and the index layer are determined. Then, based on the fuzzy characteristics of each index layer, the analytical hierarchy process(AHP)and the fuzzy comprehensive evaluation are applied to generate the weight and the satisfaction of the index and the criterion layers. When analyzing the relationship between the sub-object layer and the object layer, it is easy to find that the number of sub-objects is too large and sub-objects are significantly redundant. The partial least square(PLS)is proposed to solve the problems. Finally, an application example, whose result has already been accepted and employed as the indication of a new project in improving incident management, is introduced and the result verifies the feasibility and efficiency of the model.
- 为了评测高速公路事件管理系统的基本状况并发现其中的特别问题, 提出了一种评价模型. 首先使用专家评估法筛选了初始评价指标系, 确定了81个指标和指标系的线性层次结构, 如总目标层、子目标层、标准层和指标层. 然后, 在指标系各层模糊性特征基础上, 用层次分析法和模糊聚合法得到指标层和标准层的权重及满意度. 在分析总目标层和子目标层的关系过程中, 容易发现子目标数量过多且有冗余性问题, 并应用了偏最小二乘法进行解决. 最后, 介绍了一个结果已经得到认可并已用来指导新事件管理改进工程的应用实例, 其结果验证了模型的可行性和有效性.
References:
[1] Ozbay K, Kachroo P. Incident management in intelligent transportation systems [M]. Boston: Artech House, 1999: 3-6.
[2] Yang Shunxin, Xiong Congfeng, Ni Fujian. Freeway incident management system based on case-based reasoning [J]. Journal of Southeast University: Natural Science Edition, 2008, 38(5): 878-883.(in Chinese).
[3] Latoski S P, Pal R, Sinha K C. Cost-effectiveness evaluation of Hoosier helper freeway service patrol [J]. Journal of Transportation Engineering, 1999, 125(5): 429-438.
[4] Cuciti P, Janson B. Incident management via courtesy patrol: evaluation of a pilot program in Colorado [J]. Transportation Research Record, 1995(1494): 84-90.
[5] Ozbay K, Kachroo P. Incident management in intelligent transportation systems [M]. Boston: Artech House, 1999: 101-106.
[6] Ritchie S G. A knowledge-based decision support architecture for advanced traffic management [J]. Transportation Research Part A, 1990, 24(11): 27-37.
[7] Farradyne P B. Traffic incident management handbook [R]. Washington, DC: Federal Highway Administration Office of Travel Management, 2000.
[8] Levinson J, Granot H. Transportation disaster response handbook [M]. San Diego: Academic Press, 2002: 3-8.
[9] Zografos K G, Androutsopoulos K N, Vasilakis G M. A real-time decision support system for roadway network incident response logistics [J]. Transportation Research Part C, 2002, 10(1): 1-18.
[10] Zografos K G, Nathanail T, Michalopoulos P. Analytical framework for minimizing freeway-incident response time [J]. Journal of Transportation Engineering, 1993, 119(4): 535-549.
[11] Karlaftis M G, Latoski S P, Richards N J, et al. ITS impacts on safety and traffic management: an investigation of secondary crashes[J]. ITS Journal, 1999, 7(1): 39-52.
[12] Nogami J, Nakasuka S, Tanabe T. Real-time decision support for air traffic management utilizing machine learning [J]. Control Eng Practice, 1996, 4(8): 1129-1141.
[13] Suh K S. An examination of media-richness theory [J]. Information and Management, 1999, 35(5): 295-312.
[14] Compeau D R, Higgins C A. Development of a measure and initial test [J]. MIS Quarterly, 1995, 19(2): 189-211.
[15] Gupta Y P, Somers T M. Measurement of manufacturing flexibility[J]. European Journal of Operational Research, 1992, 60(2): 166-182.
[16] Rensel A D, Abbas J M, Rao H R. An exploration of the impact of the computer environment on public transactional web site use[J]. Journal of the Association for Information Systems, 2006, 7(1): 19-51.
[17] Saaty T L. The analytic hierarchy process[M]. New York: McGraw-Hill, 1980: 15-36.
[18] Feng Shan, Xu Lida. Decision support for fuzzy comprehensive evaluation of urban development[J]. Fuzzy Sets and Systems, 1999, 105(1): 1-12.
[19] Wold H. A second generation of multivariate analysis [M]. New York: Praeger Publishers, 1982: 325-347.
[20] Hoskuldsson A. PLS regression methods[J]. Journal of Chemometrics, 1988, 2(3): 211-228.
Memo
- Memo:
-
Biographies: He Ding(1982—), male, graduate; Ni Fujian(corresponding author), male, doctor, professor, nifujian@gmail.com.
Citation: He Ding, Ni Fujian, Yang Shunxin. Evaluation model for freeway incident management system[J]. Journal of Southeast University(English Edition), 2010, 26(1): 126-131.