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Introduction The highway tunnel is a relatively closed space, large amounts of vehicle exhaust lead to air pollution in the tunnel, and cause serious damage to driver health and traffic safety.
Their content is higher, not only deteriorate the tunnel air quality and harm to human body, but a large number of particulate matters and vehicle exhaust will make visibility descend and affect driving safety.
Assumes that the vehicle in traffic flow is continuous along tunnel, such as the rectangle of figure 2, and the width is 6 meter, height is 1.3 meter, the distance from ground is 0.8 meter.
In: Proceedings of the 5th International Symposium on Aerodynamics andVentilation of Vehicle Tunnels.
Fire Safety Journal, 2000, 35(4): 363-390

Structural Safety, 2009.31(2):179-187 [5] Basoz N I.
Structural Safety, 2010(32):25-34 [8] FEMA 445.
Structural Safety, 2010 (32): 13-24 [11] Z M WANG.
Journal of Earthquake Engineering, May2009, 11 (3):371-382 [17] Mark G Stewart.
International Journal of Protective Structures, 2010(1):23-40

International Journal of Operations and Production Management. 24 (10) (2004) 994-1011
International Journal of Lean Six Sigma. 3 (1) (2012) 4-27
The International Journal of Public Sector Management, 24(5) (2011) 403-420
International Journal of Quality and Reliability Management. 27 (2) (2010) 138-155
International Journal of Quality and Reliability Management. 27 (7) (2010) 832-855

There is a dynamic balance between quality, cost, period, safety.
Xie .On the urban subway construction safety risk assessment based on the rough set and RBF neural network, Journal of safety and environment, 2013,13（4）：232-235 [2] Y.
Research and application of 4D schedule control system for metro construction based on linear planning, china civil engineering journal , 2011，44（1）：210-214 [3] J.
Whole l ife-cycle cost analysis of urban rail transit, Journal of Traffic and Transportation Engineering, 2013,13（4）：232-235 [4] D.
International Conference on Engineering, Architecture and Sustainable InfrastructureCEASI2013)，Zhengzhou,China： American Society of Civil Engineer, July 13-15,2013： 1032-1037 [6] Q.

Therefore, the traffic accident rate and passenger death rate accompany rising with it.
According to Fatality Analysis Reporting System (FARS) data of National Highway Traffic Safety Administration (NHTSA), analysis of traffic accidents due to driver negligence vehicles unintentional lane deviations arising from accidents accounted of 41% of all causes.
References [1] National Highway Traffic Safety Administration (NHTSA) on http://www.nhtsa.gov [2] LUXGEN Motor Co.
Ltd. on http://www.luxgen-motor.com [3] Grace, R., Steward, S., Drowsy driver monitor and warning system, Driving Assessment Conference (2003) [4] Horne, J.A., Reyner, L.A., Sleep related vehicle accidents, British Medical Journal (1995) 565-567 [5] Jeftic, Z., Engström, J., Piamonte, P., Institute for traffic accident research and data analysis, Vagverket Publication, 2003
[7] ISO 17361:2007, International organization for standardization, 2007

JOURNAL OF COMPUTERS, VOL. 5, NO. 2, FEBRUARY 2010
IJCSNS International Journal of Computer Science and Network Security, VOL.9 No.11, November 2009
Traffic Incident Management Handbook.
[11] Highway Incident Traffic Safety Guidelines for Emergency Responders.
Proceedings of IEEE International Conference on Networking, Sensing and Control.

“Analysis of Accident Resulted from Human Factors in Safety Management.”
Journal of civil aviation university of China, 27(4),pp.18-21, 2009 [2] Ma Rui, Yuan Xiugan.
Symp. on 1st International Conference on Transportation Information and Safety: Multimodal Approach to Sustained Transportation System Development - Information, Technology, Implementation, ICTIS 2011.
“Application of Reason Model to Air Traffic Control,” , CSSJ, Jan 2008
Journal of Traffic and Transportation Engineering, pp.96-100, 2008 [6] Zhang Huiying, Ning Yuan, “Reasoning and Analysis of Bayesian Network in Machine Learning, ” Modern Machinery, Vol 2,2012 [7] Zhang Lianwen, Guo Haipeng, “Bayesian network introduction,” Science press, Beijing.

V. and Vamanu D. (1995) Safety Science, 20(1): 13-26
[5] IAEA, INES: The International Nuclear and Radiological Event Scale, Factsheet, 2008
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Kakko. (1998) Safety Science 30 71-77
R., Case C., Confer, D. and others. (2011) International Journal of Radiation Biology, Early Online, pp. 1-6

Highway geological disaster based on ITS According to the experts predict, the intelligent transportation system, ITS makes the traffic accident deaths by 30%, transport efficiency can be increased by more than 50%.And effectively reduce the pollution of the city, from the highway geological disaster, is a kind of can eliminate so far caused by road traffic accidents, traffic congestion and other negative effects of the project from the fundamental.
Table1 A new ITS services consider geological disasters in the road Services Development areas Set the starting point of the service content The main advantage of those Demand Status providing traffic information Intelligent navigation system Pilots Use the navigation system to obtain information related to travel Moved from the starting point to the destination Providing destination information Choose a destination Automatic toll collection Automatic toll collection system Pilots , transport companies , managers Without automatic parking Delivery tolls at the toll station Providing the traveling environment information Support Safe Driving Pilots Safe Driving Claim traveling environment Possible traffic geological hazard alert Determine hazardous environments Optimize traffic flow Optimization of traffic management Managers, pilots Optimize traffic flow Traffic Management Provide traffic control information when a traffic accident Appropriate measures against accidents Analysis of highway
[3] Traffic Engineering Research Institute , Guo liang Lan , M.: Intelligent Transportation Systems.
International Journal of Climatology(2000)
[5] Li xin Jiang:Estimating and budgeting earthquake economic losses.Journal of Natural Disasters.

Then N6 of Chongqing International Expo Exhibition Center was taken as the object of study and 5min was taken as the time interval to count N6 hall passenger flow from 9:00 am to 17:00 pm of 5 open days to obtain time series.
References [1] Yang Gu, Yin Han, Xueli Fang: Transport Information and Safety.2 (2011), No.29 (In Chinese)
Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions [J].
[4] Kai Liu, Wenquan Li, Jinhuan Zhao: Journal of Transportation Engineer and Information, Vol.6 (2010), No.2, p.8 (In Chinese)
Linear models, smooth transition auto regression, and neural networks for forecasting MACroeconomic time series: a re-examination[J] .International Journal of Forecasting,2005,21(4):755-775