Traffic Management Research Institute of the Ministry of Public Security

Wuxi, China

Traffic Management Research Institute of the Ministry of Public Security

Wuxi, China
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Traffic Management Research Institute Of The Ministry Of Public Security | Date: 2017-01-18

Disclosed is a method for security authentication that hides an ultrahigh-frequency electronic tag identification number. In the method for security authentication, by performing random number encryption on an electronic tag identification number TID and then returning same in the form of ciphertext, an unauthorized read-write device can be effectively prevented from obtaining TID information and performing unauthorized tracking and identity recognition of an object identified by the electronic tag. Meanwhile, the authentication method can effectively resist attacks such as eavesdropping, counterfeiting and replaying, and has advantages of preventing electronic tag information from being stolen and preventing tag forgery, etc. The method for security authentication uses a national cryptographic symmetric encryption algorithm and adopts a double-key and secondary authentication mechanism, thereby achieving validity verification of an electronic tag for the same key for batch cards and bidirectional security verification of a single key with a single tag.

Feng Z.,Hefei University of Technology | Yang L.,Hefei University of Technology | Liu J.,Anhui University | Zhou M.,Traffic Management Research Institute of the Ministry of Public Security | And 2 more authors.
Cognition, Technology and Work | Year: 2017

In China, it is very common for drivers to illegally occupy the motorway emergency lane; this behavior arouses widespread public concern, as it threatens traffic safety. The goal of the current research was to explore the behavioral motivation that leads drivers to illegally occupy the motorway emergency lane to provide a theoretical foundation for discouraging this behavior. First, a payoff matrix of drivers and traffic administration departments was constructed. Then, a driver payoff questionnaire and a traffic administration department payoff questionnaire were developed and administered; the regression analysis based on the ordinary least squares was applied to the results to determine the weight coefficients of the payoff influence variables. In addition, based on the established payoff matrix, an evolutionary game model of drivers and traffic administration departments was established. The local stability principle of a dynamic system was applied to determine the evolutionarily stable strategy of different strategy payoff relationships, and specific administrative measures based on the evolutionarily stable strategy were presented. Finally, the strategy selection processes of both players were simulated before and after the adjustments to payoff influence variables. The simulation results showed that the presented model can reflect the actual decision-making processes of both players; the adjustment of the payoff influence variables made both players’ decision-making process evolves toward the ideal state. By systematically exploring the strategy selection processes of both players, this study provides a new way to analyze the behavioral motivation and offers traffic administration departments a theoretical foundation for governing this behavior. © 2017 Springer-Verlag London Ltd.

Du Z.,Wuhan University of Technology | Xu W.,Wuhan University of Technology | Meng S.,Wuhan University of Technology | Li P.,Traffic Management Research Institute of the Ministry of Public Security
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) | Year: 2017

The rate of China's highway tunnel lighting in operation is generally low, which is commonly less than 40% of the national standard value and far below the national standard. There is significant contradiction between energy saving of tunnel lighting and traffic safety, and it is always leading to serious visual illusion. Drivers will underestimate the driving speed, and overestimate the car-following distance. As a result, over-speed behaviors and accidents like rear-end collision or hitting the side wall may occur. This paper summarizes the research on the correlation between visual illusion and road environment, and new developments of road tunnel lighting (focusing on reflective method). The main conclusion is drawn that the substance of Time-tunnel effect and Black-hole or White-hole illusion in highway tunnel is a serious visual illusion. The weak visual reference system in tunnels is the main reason that induces serious visual illusion and causes serious traffic accidents in tunnel environment. Finally, the new theory and evaluating indicator of tunnel lighting based on visual illusion, low-cost tunnel lighting method are discussed in this paper. © 2017, Editorial Department of Journal of Wuhan University of Technology. All right reserved.

Li R.-M.,Tsinghua University | Qian X.-D.,University of California at Davis | Wu H.-B.,Traffic Management Research Institute of the Ministry of Public Security
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | Year: 2016

Travel time of urban roads is an important parameter for urban road transportation system. Based on the travel time data for signalized arterials derived from the matching of the vehicle license plate number identified from the license plate recognition system, this paper investigates the distribution estimation method for urban road travel time using Gaussian Mixture Model (GMM), and compares the difference of GMM, Normal, Log Normal and Weibull distributions and analyses the influence of the number of normal distribution in GMM on fitting performance of GMM. The result shows that for the data used in this study, the GMM can fit the signalized arterial link travel time distribution properly. Furthermore, the proper number of normal distribution in GMM is suggested to be 2 or 3 and more normal distributions in GMM don't have substantial influence on travel time distribution fitting. This paper can provide sufficient support for the travel time reliability study for urban signalized arterials and others. Copyright © 2016 by Science Press.

Wang M.,Nanjing Southeast University | Wang M.,Traffic Management Research Institute of the Ministry of Public Security | Ma Q.,Traffic Management Research Institute of the Ministry of Public Security
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2014 | Year: 2014

Focusing on the dynamic travel time prediction for the intelligent transportation system (ITS), this paper proposes a new prediction method by introducing the particle filters algorithm. Based on the interval velocity measurement system, various traffic parameters of the highway are obtained, and a state model with these associated parameters is built for the travel time estimation. Then, the probability distribution of the system state is simulated by a set of particles according to Bayesian theory. The distribution of these particles is updated real-time based on the state transition model and re-sampling method at last. The estimated travel time is given based on the predicted system state distribution. The proposed method learns the system state transition model based on the history data derived from the interval velocity measurement system. And the introduction of the particle filters improves the proposed method greatly to handle the dynamic and uncertainty of the system. Simulation experiments are taken on the traffic data from the detection sensors on several road sections. The results show that the proposed method has much better prediction performance than some traditional methods, and validate this method can be applied on the route travel time prediction of a dynamic traffic flow. © 2014 IEEE.

Jiang J.,Nanjing Southeast University | Lu J.,Nanjing Southeast University | Li Y.,Traffic Management Research Institute of the Ministry of Public Security
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | Year: 2010

In order to make the setting of road guide signs more effective and scientific, the setting of road guide signs based on the experimental data of driver's recognition was studied in this paper. Driver's recognition parameters of road guide signs under different light conditions were collected by eye tracker and GPS(global positioning system), and a calculation model that defines the main setting parameters of road guide signs based on driver's recognition characteristics is established. The calculation results were compared with the existing norms. The research shows that the fixation duration of drivers to road guide signs increases as the speed of the vehicle and the road name number increase, and the fixation duration of novice drivers is longer than professional drivers. In addition the fixation duration under front light is shorter than that at night. The recognition distance of road guide signs decreases as the speed of the vehicle increases, and the recognition distance under front light is larger than that at night. The main setting parameters that meet the recognition requirements of professional drivers and novice drivers are notably different, and some setting parameters of the existing norms cannot meet the recognition requirements of novice drivers.

Yuan Q.,Tsinghua University | Gao Y.,Traffic Management Research Institute of the Ministry of Public Security | Li Y.,Tsinghua University
Lecture Notes in Electrical Engineering | Year: 2016

With the development of self-driving vehicles, the future road traffic system will be dramatically changed, and so will be the characteristics of road traffic accidents. It is necessary to keep abreast of the dynamic development of the vehicle models to grasp the trend of the accident forms. Based on Human–Machine– Environment System Engineering theory, after study and analysis of the development trend of self-driving vehicles, considering the changes in all kinds of factors, such as human, vehicle, and road, this article supposes the new forms of road accidents that may occur in future. Due to the uneven development, there might be vehicles of different intelligence levels co-existing and influencing each other, which, together with the complexity of existing human, vehicle, and road factors, may cause even more complex traffic accident forms. New traffic phenomena in future, such as the coexistence of various self-driving vehicles and human-driving vehicles, switching between human-driving and self-driving, information security of intelligent transportation systems, and environmental interference and adverse weather factors, may cause accidents. Among them, the human factor is still important and should not be overlooked. The collision avoidance of self-driving vehicles should focus on the vulnerable road users. The study analyzes and forecasts the possible complexity of the future accidents, and suggests that in future the characteristics of accidents form change should be revealed in depth, so as to work out plans for preventing and handling the related accidents. © Springer Science+Business Media Singapore 2016.

Lyu N.,Wuhan University of Technology | Fu Q.,Traffic Management Research Institute of the Ministry of Public Security | Wu C.,Wuhan University of Technology
ICTIS 2015 - 3rd International Conference on Transportation Information and Safety, Proceedings | Year: 2015

To ensure traffic safety of highway off-ramp area, it should leave enough reaction time for drivers taking corresponding actions after traffic signs. And the recognition time for traffic signs depends on information volume. In this study, traffic sign recognition process in highway off-ramp were analyzed and visual recognition time model was set up. Then, the information volume contained in traffic signs was calculated using the information theory, and the information was divided it into four grades. In order to analyze the recognition time for different information grades, a simulation driving experiment was implemented. 20 participants took part in this experiment and the time for four grades was obtained. An evaluation approached was proposed, which identifies the safety conditions of highway off-ramp into four levels according to the time ranges after recognition. The proposed traffic safety evaluation method may provide a new way to evaluate the safety for highway off-ramp for its intuitive, easy operation and reasonable, especially for setting traffic signs information volume. © 2015 IEEE.

Qiu C.,Traffic Management Research Institute of the Ministry of Public Security | Xu H.,Traffic Management Research Institute of the Ministry of Public Security | Bao Y.,Traffic Management Research Institute of the Ministry of Public Security
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

Road traffic accidents, especially expressway traffic accidents, have become a severe problem in China. Under this condition, identification of road traffic accident prone locations is in urgent need. This work proposes a modification of DBSCAN clustering algorithm with parameters ε and minPts carefully chosen for identifying traffic accident prone locations. Experimental results on traffic accident datasets of three national expressways are given, demonstrating the effectiveness of the proposed algorithm. © Springer International Publishing AG 2016.

Sun Z.-L.,Traffic Management Research Institute of the Ministry of Public Security
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | Year: 2011

This study proposes the overall technology rotes of networking and monitoring service platform for vehicle security detection line based on WebService technology methods, aiming at resolving some serious problems existing in vehicle security detection line, such as various equipments, data sharing, standard operation, and so on. This study describes the structure design and main function of the service platform, proposes the standardized process control and process monitoring, designs some interface specifications to access of vehicle registration information of local government, and ultimately establishes a national technical standard for this area. The results are expected to conduct local governments to set up the service platform, regulate the application, service for social citizens, and improve the capability of local governments in the supervision of vehicle security detection.

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