Time filter

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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.

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.

Ma X.,Wuhan University of Technology | Wu C.,Wuhan University of Technology | Gao Y.,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: 2014

As the car quantity increase, parking problems in cities become urgent to be solved. This study focuses on this problem, and introduces the interval uncertainty theory into the planning model and its solution procedure. This interval uncertainty method can deal with the uncertainty factors during data collection and planning procedure. Except for the system cost, environment quality is considered in the object function. At last, Wuhan Square, as a typical big business center, is chosen as a study case. Based on the current data, this study gets the 15-year planning according to the proposed model, and analyzes the trends of environment. This model will be helpful to planning and environment improvement of large and medium-size city.

Gao Y.,Traffic Management Research Institute of the Ministry of Public Security | Su H.,Southwest Jiaotong University | Jin W.,Southwest Jiaotong University
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2014

Design and implementation methods of virtual traffic environments for driving safety education were proposed. Architecture of driving simulator for safety education was introduced. Design method of virtual traffic environments was proposed, Main contents include: design of road networks, design of traffic incidents, design of evaluation rules. Architecture of 3D model of virtual traffic environments, implementation methods of dynamical object and simplification methods of 3D models were discussed. The virtual traffic environment was implemented and was used in driving safety education. Education effects were gathered and analyzed. Analysis shows the virtual traffic environment is effective to help drivers to enhance safety consciousness and improve driving skills.

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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