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Safety Assessment Principles based on Statistics.
Its three spans range as 180m+360m+180m, and the deck is 36m broad with six traffic lanes in two ways.
Proceedings of the 4nd International Workshop on Structural Health Monitoring.
International Journal of Production Economics,2002,76:189-199 [6] Aparisi F, Haro CL.
International Journal of Production Research,2001,14: 3127-3140

Vehicle stop and go frequently can cause driver fatigue, even traffic accidents.
With the continuous increase of traffic density, urban traffic congestion is getting worse.
By controlling the vehicle braking and driving, achieving vehicle stop and go automatically, reducing the driver fatigue in urban traffic, improving vehicle active safety and driving convenience.
By the research on various of traffic safety distance model domestic and international, summarize three existing safety distance models as follows: the safety distance model based on the kinematic analysis of the vehicle braking process [5], on time headway [6], and on driver model of preview [7].
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2001, 215(10): 1099-1115

First, the concentric circle structure about city traffic demands and traffic resources of cities.
But city traffic resource decisions can provide, also decides the city traffic saturation and how to effectively control traffic congestion, traffic congestion control.
Therefore, it brought a series problem, such as city traffic, traffic congestion, average speed is declining, but the traffic accidents increase.
Solve the city traffic jam, the overall objectives and positioning of city public transportation is the completion of the "city public traffic system guarantee, service quality, perfect facilities, operation safety, and management norms", the establishment of city public traffic status in the city traffic system, better satisfies people's basic demand for travel.
Traffic Demand Management and its Application in China [R].Journal of Traffic and Transportation Engineering, 2002, 6

Introduction The automotive braking performance is one of important factors affectting driving performance,which is related to traffic safety directly.
Journal of Jiangsu University(Natural Science Edition), 2004，25(1)：29－32
Journal of Traffic and Transportation Engineering, 2011，11(6)：62－67
International Journal of Automotive Technology, 2011, 12(4): 611-616
Journal of Traffic and Transportation Engineering,2009,9(2):50-59.

With the popularization of passenger vehicle safety devices such as safety belt, airbag and so on, the chance that occupant’s upper limbs were injured seriously was decreased significantly in frontal impact.
Introduction With the development of vehicle safety technology, especially with the popularization of passenger vehicle safety devices such as safety belt and airbag, the chance that occupant’s upper limbs were seriously injured was decreased significantly in frontal impact.
Statistical data of China's traffic accidents in recent years showed that about 72% leg injuries were resulted from frontal crash accidents and hereinto 33% lower leg injuries index exceeded AIS 2 level which stood for moderate severity.
International Journal of Crashworthiness, Vol.7, No. 4, 2002
[8] Yi L, Hailin L, Junyuan Z: A new optimization approach for the driver restraint system for the frontal impact of a mini-bus, International Journal of Vehicle Systems Modeling and Testing, Vol. 3, No.1-2 / 2008.

Characteristic Dynamic Increment for extreme traffic loading events on short and medium span highway bridges: Engineering.
Condition, safety and cost profiles for deteriorating structures with emphasis on bridges: Reliability Engineering & System Safety Vol. 89 (2005), p. 185-198
Study on steel box girder bridges partly stiffened by CFT arch ribs: Journal of Constructional Steel Research Vol. 70 (2012), p. 28-35
Dynamic Characteristics of Suspension Bridge Hanger Cables Using Digital Image Processing: NDT & E International Vol. 59 (2013), p. 25- 33
An Efficient Image-Based Damage Detection for Cable Surface in Cable-Stayed Bridges: NDT & E International Vol. 58 (2013), p. 18-23

Based on the real traffic volume, a fatigue load vehicle model can be obtained.
The existing thin bridge decks suffer from fatigue cracking problems immediately after it was open to traffic under overload, but they would have a longer fatigue life if they had took lighter traffic.
Many fatigue cracks have been detected in 10 years after opening to traffic (Fig.9).
Because local members failure couldn't lead the whole structure to failure, the partial safety factor for fatigue loading selected Ff =1.0 and the partial safety factor for fatigue strength was Mf =1.0.
Wolchuk: ASCE Journal of Structural Engineering Vol.116 (1992), p.75

With full knowledge of the basic features positioned in distributing, using and controlling resources in traffic planning, the traffic system developed with traffic demand [3].
So the primary work was to establish the appropriate policy framework on the basis of the traffic situation and planning, with Consulting domestic and international TDM measures, policy and practice.
So there is much safety weakness in the operation.
Feeder airports development Analysis with TDM strategy 4.1 Allocate resources properly The standard construction of the airports is higher than international standard.
References [1] Tao Yang, TDM and development prospect, Transportation Research and Exploration (1999) [2] Duhou Li, Analysis and strategy of TDM, Journal of Changan university (2005) [3] Fengyuan Wang, Transportation Demand Management and Application in China, Journal of Transportation Engineering(2002) [4] Fang zong, Activity-based travel mode choice model and analysis on traffic demand management, Journal of JIling university (2007) [5] Information on http://www.bjnews.com.cn

[2] R.H.Xu, J.J.Chen and S.M.Du: Journal of The China Railway Society .
[4] Y.Y.Wang and S.Q.Ni: Journal of the China Railway Society,Vol.35-7(2013),p.1-8
[5] W.G.Wu, X.Q.Luo and Y.Wang: Journal of Hebei University of Technology, Vol. 40-6 (2011), p.83-87
[8] J.Cheng,Q.Y.Peng and J.Zhao: Journal of Southwest Jiaotong University,Vol.48-6 (2013), p.1116-1121
[9] W.S.Yin,F.H.Qu,Y.T.Hu and L.P.Cheng: International Journal of Computational Intelligence Systems and Applications,Vol.1-3(2013),p.174-179.

TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 2016. 10
International Journal of e-Navigation and Maritime Economy, 2014. 1: p. 1-13
Journal of the Korean Society of Marine Environment & Safety, 2015. 21(4): p. 381-388
International Journal of Distributed Sensor Networks, 2015. 2015: p. 5
A Comprehensive Review of Particle Swarm Optimization. in International Journal of Engineering Research in Africa. 2016.