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At the same time, the effect of rainfall intensity change on the slope failure mode and safety coefficient was analyzed.
Safety coefficient of carbonaceous mudstone embankment slope gradually decreases with the rainfall continuing, potential sliding surface also have the tendency of extending into the embankment.
Acknowledgements This work was financially supported by the national natural science foundation (51078042),the hunan science and technology plan project(2011FJ3114)and the western traffic science and technology plan project (2009 318 000 048).
Reference [1] Qiang Cheng, Xiaobing Kou, Shaobin Huang:Journal of engineering geology, vol.34-40 (2004) ,p.12.
[5] Fredlund.D.G,Vanapalli.S.K,xing A,etal:Predicting the shear strength function for unsaturated soil using the soil-water characteristic curve.Proceedings of First International Conference on Unsaturated Soil (I) Paris :International Academic Publishers,189-193(1995),p.

Introduction With the rapid development of the world economy, vehicle amounts increase greatly, which brings more and more safety problems for road traffic.
A large number of road traffic accidents have brought great loss of life and property as well as great many social problems.
[2] Jingan Huang: Kinetic Analysis and Research on Reconstraction of Road Traffic Accident.
[3] Jian Zhang, Changhua Kang: Journal of Beihua University.
[4] Dario Vangi: International journal of impact engineering.

Trainees are able to practice navigation skills in a variety of river conditions and understand the dynamics of inland waterway traffic.
„Performance assessment in full-scale simulators - A case of maritime pilotage operations“, Journal of Safety Science, 2020
“Deep learning elements in maritime simulation programmes: a pedagogical exploration of learner experiences”, International Journal of Educational Technology in Higher Education, 2021
[8] Park Y., A study on the standardization of education modules for ARPA/radar simulation, Journal of the Korean Society of Marine Environment & Safety, 2016
Seeking the Best Practices of Assessment in Maritime Simulator Training, Journal on Marine Navigation and Safety of Sea Transportation, 2023

With the rapid development of the Internet of things, it has been applied widely, has been used in the public security, intelligent traffic, environmental protection, human production and every field of life.
At present domestic has begun to M2M mode of networking pilot, such as wisdom city, intelligent traffic and intelligent home furnishing.
Therefore, safety is an important problem in the Internet of things.
Reference: [1] International Telecommunication Union.
Journal of Tsinghua University (Science and Technology), 2011,51(10):1035-1040 [8] Wang Jian-zhou.From Internet to “Internet of things”[J].Communication World, 2009,33:09-13.

Introduction According to the statistical data of CO2 emissions from different sectors of International Energy Agency, the emissions of transportation sector accounts for 30% of the entire social emissions.
Through improving traffic efficiency to reduce traffic energy consumption and emission is the first aspect.
Three low carbonization ways are summarized on the basis of the reliability and safety of power supply [2]
That will reduce the traffic congestion and traffic accident.
References [1] X.L.Chen: Chinese Journal of Underground Space and Engineering, Vol. 8(2012), p. 1358(In Chinese) [2] J.

It also provides a theoretical basis for researching of driver’s affection and vehicle safety driver assistance. 1.
International Journal of Computational Intelligence Systems.
Journal of Beijing Institute of Technology.
Journal of Computer Application.
Journal of wuhan University of Technology.

All of this were to provide basic platform which to change the passive situation in the study of the international shipping-bridge crash testing [1][2].
The safety problem could be solved at the same time.
High-accuracy, fast running speed international cutting-edge products had been used in the system to make the process stable and fast, meet the requirement of acceleration in different speeds and different distance.
Acknowledgements It is funded by the National Science and Technology Action Plan Project (2009BAG13A02), JingZhu double-line Changsha to Xiangtan Highway Resource-saving and Environment-friendly Technology Demonstration Projects (Traffic and Transport Department Traffic and Transport Science and Technology[2009]NO 333).
[2] Sujuan Wang, Zhengbao Lei, Jian Zhao: Journal of Vibration and Shock, Vol. 28(2009), p. 181-186

Operators and institutes of scientific research pay more and more attention that how to reduce the energy consumption of lighting system of highway tunnels, improve the effect of tunnel lighting and ensure traffic safety.
(In Chinese) [5] Libin Lu: submitted to China ITS Journal (2010), p. 93-97.
(In Chinese) [12] Dong Chen: submitted to China ITS Journal (2011), p. 116-117.
(In Chinese) [19] Wei Wu, Mingguang Wu and Yanpeng Liu: Industrial Informatics, 2006 IEEE International Conference. 1237-1240 (2006)
[25] Q Zhang and Lee.D:The Fifth International Conference vol. 2. 1168-1171 (2003), p. 17-20

Introduction Driving time is too long, the driver will be fatigue, driving in the state of fatigue due to the slow reaction of the driver can not be found in the road traffic situation and to take accurate driving control measures, and therefore vulnerable to traffic accidents.
As the study of fatigue driving and dangerous high, driver fatigue detection and warning technology (DFMP) calculation becomes significant, many domestic and foreign scholars have launched a series of studies from all aspects of driver fatigue detection , from the overall points, driver fatigue detection methods are divided into two kinds of subjective and objective analysis methods, because of the subjective test methods with a strong subjective, individual differences, and therefore the field of traffic safety on the subjective detect driver fatigue detection methods method less mainstream approach is objective detection methods, detection methods are currently running a vehicle based detection method based on driver behavior and the detection method based on characteristics of physiological indicators used more objective detection methods.
Fatigue is a gradual process, excitement - sober - slack - fatigue - extreme fatigue, this process takes a long time, and the state of human brain is the most direct response to the state, through the study shows that the brain under various conditions conducted EEG acquisition, after analysis of the EEG signal, which can restore the signal acquisition brain state, in 2008 the Australian health Research Center at the University of Sydney in the IEEE International Conference on application of EEG released the results of fatigue driving detection through after the application of artificial neural network approach to deal with different driver's EEG signal EEG signals of different wavelengths of feature extraction and classification, to detect fatigue conditions.
Journal of Safety Research, 2003, 34(3): 321-328
The Journal of rheumatology, 1999, 26(7): 1586-1592

Acknowledgement This project was funded by the National Action Program of Science and Technology for Road Traffic Safety of China (2009BAG13A07) and the National Natural Science Foundation of China (50908020).
International Congress and Exposition, SAE paper No. 950174, 1995
China Journal of Highway and Transport. 2002, 15(3):23-32 [5] CHEN Ming.
SAE International Congress, March 1999, SAE 1999-01-0121
Journal of Traffic and Transportation Engineering, 2003, 3(3):88-92