Search results

Underground highway is an effective measure to ease the traffic pressure.
Zheng Xiaowu studied the urban underground traffic tunnel evacuation and drew a conclusion that In the urban underground traffic tunnel evacuation exit setup, the exports should be uniformly set and the distance of each outlet should not exceed 120m[4].
In Chinese [3] Xiaoming Gao, et al: Journal of Catastrophology, Vol.46(2009), p.150-153.
Imai, H.Yanagi, et al: 10th International Symposium on the Aerodynamics & Ventilation of Vehicle Tunnels (2000),p.581-595 [7] C.Rudin: 10th International Symposium on the Aerodynamics & Ventilation of Vehicle Tunnels (2000),p.915-925 [8] Hui Yang, Li Jia, Lixin Yang: Building Science, Vol.46(2009), p.98-104.
In Chinese [9] Vauquelin O, Wu Y: Fire Safety Journal, Vol.41 (2006), p. 421-426

In order to reduce the incidence of traffic accidents and protect the safety of pedestrians, research institutes and automotive industries begin to study pedestrian detection system (PDS), and it is an important research in the field of safety assistance driving.
Processing of the IEEE International Conference on Image, Dec.2002, Vol.1, pp.900-903, (2002) [3] N.
International Journal of Pattem Reeognition and Artifieial Intelligenee, Vol.17, pp. 405-416, (2003) [6] H.
International Conference on Machine Learning and Cybernetics, Vol.5, pp.2999-3004, (2008) [9] L.
Joos: Real-time stereo vision for urban traffic scene understanding.

Introduction Nowadays, the global environmental degradation has become to the international issue, and the emission of road transport is one of the major contributors for atmospheric pollution.
Besides, although the electric vehicles is benefit for atmosphere, the limitations of this kind of vehicles are still existing, which involve the limited range, passenger room and performance, pollution shifting instead of pollution reducing, battery disposal problem, safety issue and the cost barrier. 2 Behavior Modification 2.1 Traffic restraint measures Regulations to reduce the road transport emissions can be achieved by the implementation of some traffic restraint measures, such as road pricing, fuel tax, parking charges and traffic calming.
Submitted to Journal of Transport Reviews, Vol. 25, No. 5 (2005), pp.511–534 [9] H.
Zhang, Traffic Pattern Development Tendency in China.
Submitted to Journal of HuaZhong University of Science and Technology, Vol.26, No.2 (2009), pp.19-22 [10] European Conference of Ministers of Transport (ECMT), CO2 emissions from transport, OECD, Paris, (1997).

Introduction Currently, research on motorcycle safety and comfort is considered as a major subject in road safety in Europe [1].
König, Motorcycle crash tests an overview, International Journal of Crashworthiness. 10, 4 (2005) 327-339
[2] Malaysian Institute of Road Safety Research (MIROS).
Iwata, Assessment of hand-arm vibration exposure among traffic police motorcyclists, International Archives of Occupational And Environmental Health. 70, 1 (1997) 22-8
International Organization for Standardization. 2001.

Research on Mechanical Automation with Analysis of Mixed Train Scheduling Problem on the High-speed Rail Line Chengxuan Caoa, Yahua Sunb and Chao Wuc State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, P.R.
China acxcao@bjtu.edu.cn, b12120907@bjtu.edu.cn, c12120807@bjtu.edu.cn Keywords: Rail traffic flow; Train control; Discrete-time model; Simulation Abstract.
Acknowledgments This research was supported in part by the National Basic Research Program of China (Grant No. 2012CB725400), the National Natural Science Foundation of China (Grant No. 71131001-1), and the Research Foundation of State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, China (Grant Nos.
Gao, "Network-based simulation approach for scheduling trains on rail networks," International Journal of Modern Physics C, vol. 17, no. 9, pp. 1349-1358, 2006
Yang, "Efficient scheduling of railway traffic based on global information of train," Transportation Research Part B, vol. 42, no. 10, pp. 1008-1030, 2008.

Introduction Traffic safety has been one of the world’s largest public health problems, especially in the sense that the victims are usually healthy prior to the crashes [1-5].
Jin: Traffic Injury Prevention Vol. 15 (2014), p. 89
Statistical modelling of motorcycle safety.
Meng: Journal of Advanced Transportation Vol. 47 (2013), p. 553
Meng: International Journal of Systems Science DOI:10.1080/00207721.2012.743617

Thus the arterial road vehicles delay can be reduced as well as it makes sure the safety for pedestrian to cross the road.
Zhou, Traffic signal coordination control of city arterial road that based on graphic method, 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, China (2011), 3562-3566
Lu, Application of green wave traffic design in traffic impact analysis, Proceedings of the 8th International Conference of Chinese Logistics and Transportation Professionals – Logistics, China (2008), 4205-4211
Wei, Traffic signal coordination for urban arterial roads based on fuzzy neural network, Journal of Highway and Transportation Research and Development. 29(2012), 3087-3092
Chen, Coordination control of crossing pedestrian signal and crossroads signal, Journal of Traffic and Transportation Engineering. 4(2004), 106-109(In Chinese).

As critical transportation junction in the transportation network, bridge controls the traffic capacity of the transportation network.
After statically analysis of the investigation result of the collapsed bridges, three main reasons can be summarized: 1) overloading, which is widespread in Chinese highway traffic, caused most of the accident bridgescollapsed [2];2) construction deficiency, which is caused by unreasonable design and human error in the process of construction [3]; 3) imbalance of the system safety [4], most of the accident bridges collapsed for the failure of pier or bent cap.
Safety balance of components in system needs to be guaranteed.
However, in bridge design codes, few provisions can be referenced to consider the safety of system.
Battikha, International Journal of Quality & Reliability Management, Vol. 20 Iss: 5, (2003),p.532 – 550

Fig.1 Bridge Safety Monitoring and Analysis System structure Condition Assessment Bridge evaluation system assess the safety of existing bridges based on specific information, which also assess the basic performance of the existing bridge system as well as predicting the safety of its future.
It requires closure of the normal traffic and impacts on traffic flow, but also damages the structure.
The deflection and strain index are important in reflecting the safety of bridge structure.
The weight of each part of the overall structural safety is generally surveyed by experts.
References ［1］Rui Guo “Urban Bridge Management System of the key issues”[D], Tongji University March 2004(in Chinese) ［2］Robert J.Lark “Condition Monitoring and the Assessment of Bridge Structures at the Serviceability Limit State” First International Conference on Bridge Mainntenance, Safety and Management, July,2002 ［3］Livia Pardi, Finn Thogersen “Smart Structures: a European Funded Project” First International Conference on Bridge Mainntenance, Safety and Management, July,2002 ［4］Yong Zhuang, Liming Zhu “Intelligent Bridge System (IBS)” [J]Bridge Construction，3 2003(in Chinese) ［5］Fei Cui：“Parameter Identification and Capacity Assessment of Bridge ” [D], Tongji University, 2000(in Chinese) ［6］Donglian Tan, Rucheng Xiao：“Static Parameter Identification of Bridge Structure Based on Levenberg-Marquardt Algorithm” [J]Journal of Traffic and Transportation Engineering 2005,5 (3) (in Chinese) ［7］Donglian Tan：“Key Studies of Bridge Structural Condition Assessment Based on Monitoring”[

The critical density (kc) and jam density (kj) are the two most crucial densities in traffic flow.
As a traffic jam forms, h approaches infinity.
International Journal of Automotive Science And Technology, 6(4),412-417
[8] National Highway Traffic Safety Administration (NHTSA).
Journal of Mechanical Engineering and Sciences, 15(3), 8459-8468