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Online since: March 2015
Authors: Jia Ying Wang, Chao Deng, Wei Gang Zheng
With the development of the system launched in 2009, there are numerous of problems in the system operation, for example: the low utilization rate caused by the irrational distribution of the stations, the unbalanced application of bicycles, the difficulty to get a “Public Bicycle Card” for individuals, and the occurrence of tide traffic phenomenon , which has seriously restricted the development and popularization of Wuhan public bicycle system.
Vehicle satisfaction, B1; The degree of travel, B2; Travel safety, B3; The degree of Site reasonable, B4; The degree of publicity,B5; Other modes of transport, B6
Table 1 The influence factors of public travel site Comparison of project Commercial Tendency(C1) Living Tendency (C2) Leisure tour type (C3) Vehicle satisfaction (B1) 30% 60% 90% The degree of travel (B2) 90% 60% 40% Travel safety (B3) Grade Medium High The degree of Site reasonable (B4) Great Best Poor The publicity (B5) Great Best Poor Other modes of transport (B6) Most affected Great affected Less affected Analyzing the evaluation criteria.
References [1] Yu Wei, Kefeng Qian, Jiang Gao, et al: Interpretation on planning design of non-motorized traffic system in Hangzhou[J], Urban Transport Vol. 7, 2009(In Chinese) [2] John Wiley and Sons, New York: M.
[3] Zilla Sinuany-Stern, Abraham Mehrez, Yossi Hadad: An AHP/DEA methodology for ranking decision making units[J], International Transactions in Operational Research, 2000, Vol.7 (2), pp.109-124 [4] Zhili Liu, Xudong Jia, Wen Cheng: Solving the Last Mile Problem: Ensure the Success of Public Bicycle System in Beijing[J], Procedia - Social and Behavioral Sciences, 2012, Vol.43 , pp.73-78 [5] Haitao Xu, Jing Ying, Fei Lin, Yubo Yuan: Station Segmentation with an Improved K-Means Algorithm for Hangzhou Public Bicycle System[J], Journal of Software, 2013, Vol.8 (9), pp.2289-2296
Vehicle satisfaction, B1; The degree of travel, B2; Travel safety, B3; The degree of Site reasonable, B4; The degree of publicity,B5; Other modes of transport, B6
Table 1 The influence factors of public travel site Comparison of project Commercial Tendency(C1) Living Tendency (C2) Leisure tour type (C3) Vehicle satisfaction (B1) 30% 60% 90% The degree of travel (B2) 90% 60% 40% Travel safety (B3) Grade Medium High The degree of Site reasonable (B4) Great Best Poor The publicity (B5) Great Best Poor Other modes of transport (B6) Most affected Great affected Less affected Analyzing the evaluation criteria.
References [1] Yu Wei, Kefeng Qian, Jiang Gao, et al: Interpretation on planning design of non-motorized traffic system in Hangzhou[J], Urban Transport Vol. 7, 2009(In Chinese) [2] John Wiley and Sons, New York: M.
[3] Zilla Sinuany-Stern, Abraham Mehrez, Yossi Hadad: An AHP/DEA methodology for ranking decision making units[J], International Transactions in Operational Research, 2000, Vol.7 (2), pp.109-124 [4] Zhili Liu, Xudong Jia, Wen Cheng: Solving the Last Mile Problem: Ensure the Success of Public Bicycle System in Beijing[J], Procedia - Social and Behavioral Sciences, 2012, Vol.43 , pp.73-78 [5] Haitao Xu, Jing Ying, Fei Lin, Yubo Yuan: Station Segmentation with an Improved K-Means Algorithm for Hangzhou Public Bicycle System[J], Journal of Software, 2013, Vol.8 (9), pp.2289-2296
Online since: March 2013
Authors: Hong Yang Wu
Secondly, for each apparent variable, its loading factor is through the significance test, and its normalized loading factor is 0.852 and it is significantly higher than the minimum critical level 0.6 recommended by the international research and fully shows a high degree of reliability.
In the second class indexes, the average score of “safety”, “rapidity”, “comfort” and “economic” are all higher than 80, and among them the safety’s score is highest.
Acknowledgements This paper is funded by technology project of the western traffic construction of the Ministry of Transport (Project No.2011-318-221-1210) and the Volvo Research and Educational Foundations (Project No.CoE-2005-3).
Journal of Marketing[J], 1992, 56(1):6-21
Differentiation as a Basis for Explaining Customer Satisfaction Across Industries, Journal of Economic Psychology[J], 1993, 14(4): 681-696
In the second class indexes, the average score of “safety”, “rapidity”, “comfort” and “economic” are all higher than 80, and among them the safety’s score is highest.
Acknowledgements This paper is funded by technology project of the western traffic construction of the Ministry of Transport (Project No.2011-318-221-1210) and the Volvo Research and Educational Foundations (Project No.CoE-2005-3).
Journal of Marketing[J], 1992, 56(1):6-21
Differentiation as a Basis for Explaining Customer Satisfaction Across Industries, Journal of Economic Psychology[J], 1993, 14(4): 681-696
Online since: December 2014
Authors: Pei Zhi Zhang, Liang Chu, Zi Cheng Fu, Yuan Jian Zhang, Chong Guo
In order to ensure that pure electric vehicle can accurately identify the road grade, and has a high safety and good feeling, this article proposes a control strategy for slope starting of pure electric vehicle.
Finally, the anti-slip control keep the vehicle slipping speed at around 4km/h, and achieves the control effect slipping at a low speed in a big slope, ensures driving safety when slipping.
Conclusion This slope starting strategy not only can quickly and accurately predict the current road slope, also can control the anti-slip torque to ensure the traffic safety, and keep the driving feeling the same as the flat road starting.
Wei: Journal of Chongqing University, Vol. 35 (2012) No.9, p.1
Sun: Proceedings of the Second International Symposium on Intelligent Information Technology Application (Shanghai, China, Dec. 20-22, 2008).
Finally, the anti-slip control keep the vehicle slipping speed at around 4km/h, and achieves the control effect slipping at a low speed in a big slope, ensures driving safety when slipping.
Conclusion This slope starting strategy not only can quickly and accurately predict the current road slope, also can control the anti-slip torque to ensure the traffic safety, and keep the driving feeling the same as the flat road starting.
Wei: Journal of Chongqing University, Vol. 35 (2012) No.9, p.1
Sun: Proceedings of the Second International Symposium on Intelligent Information Technology Application (Shanghai, China, Dec. 20-22, 2008).
Online since: August 2013
Authors: Yung Lin Chen, Shun Hsing Chen, Andrew Yang, Po Hsun Sung, Jyh Dong Lin
Introduction
To the freeway, the main task for the implementation of pavement management and maintenance of freeway to improve the quality of maintenance and operation, and to ensure the passers safety and comfort.
Pavement Maintenance aims to maintain the road service quality, the integrity of the pavement structure, and traffic safety.[1] The freeway started service to the public after the completion of the construction; the pavement is influenced by the material, structure, traffic loads, climatic, and environmental factors.
Transportation Research Record: Journal of the Transportation Research Board, 2001. 1769(-1): p. 1-9
Journal of infrastructure systems, 1999. 5(2): p. 61-68
-D., et al., Development of Flexible Pavement Knowledge Decision Net, in 7th International Conference on Road and Airfield Pavement Technology (7th ICPT)2011.08: Bangkok, Thailand. p. 1227-1234
Pavement Maintenance aims to maintain the road service quality, the integrity of the pavement structure, and traffic safety.[1] The freeway started service to the public after the completion of the construction; the pavement is influenced by the material, structure, traffic loads, climatic, and environmental factors.
Transportation Research Record: Journal of the Transportation Research Board, 2001. 1769(-1): p. 1-9
Journal of infrastructure systems, 1999. 5(2): p. 61-68
-D., et al., Development of Flexible Pavement Knowledge Decision Net, in 7th International Conference on Road and Airfield Pavement Technology (7th ICPT)2011.08: Bangkok, Thailand. p. 1227-1234
Online since: January 2012
Authors: Yi Wei, Yue Qiao, Yan Zhuo Xue
Conclusion
Intelligence avoidance collision system can help the mariner control the direction and ensure the safety of ships.
Ship intelligent navigation system is an area of research involved in the ship motion, control theory, sea environment, navigator’s experience and traffic regulations.
Journal of Traffic and Transportation Engineering, 2002. 6,Vol. 2,2
International Journal of Robotics Research,1986.5(1): 90-98
Ship intelligent navigation system is an area of research involved in the ship motion, control theory, sea environment, navigator’s experience and traffic regulations.
Journal of Traffic and Transportation Engineering, 2002. 6,Vol. 2,2
International Journal of Robotics Research,1986.5(1): 90-98
Online since: August 2013
Authors: Filippo G. Praticò, Venant Minani, Vincenzo Gallelli, Rosolino Vaiana, Teresa Iuele
Skid resistance, for example, is an essential component of traffic safety because it provides the grip that a tire needs to maintain vehicle control and to stop it in emergency situations (especially in wet conditions).
Journal of Construction Engineering and Management, Volume 137, Issue 2 (2011), pp 99-107
International Conference on Surface Friction, New Zealand (2005)
Journal of Materials in Civil Engineering, 10.1061/(ASCE) MT.1943-5533.0000802 (2013)
Characterization of Asphalt Pavement Surface Texture, Journal Transportation Research Record: Journal of the Transportation Research Board, Issue Vol. 2295 (2012), pp. 19-26
Journal of Construction Engineering and Management, Volume 137, Issue 2 (2011), pp 99-107
International Conference on Surface Friction, New Zealand (2005)
Journal of Materials in Civil Engineering, 10.1061/(ASCE) MT.1943-5533.0000802 (2013)
Characterization of Asphalt Pavement Surface Texture, Journal Transportation Research Record: Journal of the Transportation Research Board, Issue Vol. 2295 (2012), pp. 19-26
Online since: August 2013
Authors: Zhi Gang Zheng, Zhuo Chen
On the other hand, it may bring a tremendous challenge to city safety.
For example, explosion often cause fire, fire can cause explosion and air pollution, earthquake cause fire and flood easily, construction accident cause fire and explosion, flood destroy underground cable and affect traffic and communication, and etc.
A small subway accident might lead to disruption of city traffic system or even city traffic paralysis.
Journal of Natural Disasters, 1996(4): 8-19.
International Journal of General System, 1998b(6): 385-393.
For example, explosion often cause fire, fire can cause explosion and air pollution, earthquake cause fire and flood easily, construction accident cause fire and explosion, flood destroy underground cable and affect traffic and communication, and etc.
A small subway accident might lead to disruption of city traffic system or even city traffic paralysis.
Journal of Natural Disasters, 1996(4): 8-19.
International Journal of General System, 1998b(6): 385-393.
Online since: June 2014
Authors: Chang Li Zhao
Otte et al. [2] have collected 826 traffic accident cases to use for the analysis of crash types, and analyzed the percentage of collision injury between the crew and the interior decoration.
In the process of simulation, the technical parameters of various parts of the crew model can be set up according to the needs of test or traffic accident.
References [1] Accident query system of State Administration of Work Safety on http://media.chinasafety. gov.cn:8090/iSystem/shigumain.jsp, 2012-11-16 [2] D.
Deng: International Journal of Vehicle Design Vol. 12 (1991), P. 160-174 [4] W.
Wolfram: Traffic injury prevention Vol. 3 (2001), P. 127-140
In the process of simulation, the technical parameters of various parts of the crew model can be set up according to the needs of test or traffic accident.
References [1] Accident query system of State Administration of Work Safety on http://media.chinasafety. gov.cn:8090/iSystem/shigumain.jsp, 2012-11-16 [2] D.
Deng: International Journal of Vehicle Design Vol. 12 (1991), P. 160-174 [4] W.
Wolfram: Traffic injury prevention Vol. 3 (2001), P. 127-140
Online since: January 2011
Authors: Wei Xiang Xu, Xu Min Liu, Ling Yan Sun
An Improved Weighted Mixed Bayes Classification Model
Xu weixiang1,a, SUN Lingyan1, Liu Xumin2,b
1School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China, 100044
2College of Information Engineering, Capital Normal University, Beijing, China, 100048
axwx901@126.com, bliuxumin@126.com
Keywords: Weighted Naïve Bayes, TAN, Data Mining, Classification
Abstract: The paper investigates kinds of classical Bayes classification arithmetic and summarizes their advantage and disadvantage, then introduces an improved weighted mixed Bayes classification model.
Acknowledgements This research was supported by the Beijing Municipal Science & Technology Commission key project (Z090506006309011), National Science and Technology Support Program topics (2009BAG12A10), the State Key Laboratory of Rail Traffic Control and Safety (RCS2009ZT007), Beijing Jiaotong University, and partially supported by the MOE key Laboratory for Transportation Complex Systems Theory and Technology School of Traffic and Transportation Beijing Jiaotong University.
Proceedings of the First International Conference on Machine Learning and Cybernetics, 2002
Journal of Jilin University, 2007, 25(1):58-60 [5] Sui Yuefei, Xia Yonming.
In:Fourth IEEE International Conference on Data Mining(ICDM '04),2004: 567-570
Acknowledgements This research was supported by the Beijing Municipal Science & Technology Commission key project (Z090506006309011), National Science and Technology Support Program topics (2009BAG12A10), the State Key Laboratory of Rail Traffic Control and Safety (RCS2009ZT007), Beijing Jiaotong University, and partially supported by the MOE key Laboratory for Transportation Complex Systems Theory and Technology School of Traffic and Transportation Beijing Jiaotong University.
Proceedings of the First International Conference on Machine Learning and Cybernetics, 2002
Journal of Jilin University, 2007, 25(1):58-60 [5] Sui Yuefei, Xia Yonming.
In:Fourth IEEE International Conference on Data Mining(ICDM '04),2004: 567-570
Online since: May 2012
Authors: Xiang Dong Zhang, Bao Rong Huo
Because of two-way curved arch bridge with low design load level, less structural steel, improper construction, overloading and poor integrity, when the bridge structure can’t satisfy the carrying capacity and traffic capacity requirements, we need to reinforce the bridge, that has become an important link of safety assessment and insurance of the bridge structures.
(In Chinese) [2]Huang Pingming, Wang Da.The role of sprayed concrete in bridge reinforcement[J].Journal of Chang An University: Natural Science, 2005,25(6):39-42.
(In Chinese) [3]Rizkalla S, Labossiere P.Structural engineering with FRP in Canada[J].Concrete International, 1999,10(3):25-28
[4]Kelley L, Michael L.Design philosophy for structural strengthening with FRP[J].Concrete International, 2000(2): 77-82
Journal of Structural Engineering,1998,124(9):1025-1031
(In Chinese) [2]Huang Pingming, Wang Da.The role of sprayed concrete in bridge reinforcement[J].Journal of Chang An University: Natural Science, 2005,25(6):39-42.
(In Chinese) [3]Rizkalla S, Labossiere P.Structural engineering with FRP in Canada[J].Concrete International, 1999,10(3):25-28
[4]Kelley L, Michael L.Design philosophy for structural strengthening with FRP[J].Concrete International, 2000(2): 77-82
Journal of Structural Engineering,1998,124(9):1025-1031