Shifeng Niu

Automatic traffic congestion identification method of expressway based on gain amplifier theory

This paper proposes a method for application in automatic traffic congestion identification method (ACI) using gain amplifier theory. The road segment dividing method is given in this paper, and the ACI method of road lean, road cross-section and natural road segment are proposed to identify the traffic state of expressway. The performance of ACI method is evaluated using real and simulation data. The experimental results indicate that the proposed ACI method of lean produced satisfactory DR with deemed acceptable FAR using traffic data of three time scales. The ACI method of natural road segment is suit for estimating the traffic state of natural road segment.

The method of traffic congestion identification and spatial and temporal dispersion range estimation

In order to improve the efficiency of traffic congestion detection algorithm, this paper proposes a method for application in traffic congestion identification and dispersion range estimation using gain methodology. The traffic data containing volume, speed and occupancy for testing were obtained from a real section and simulation system. The performance of automatic congestion identification (ACI) method and spatial-temporal dispersion range estimation (ACDE) method are evaluated using real and simulation data. The experimental results indicate that the proposed ACI method produced satisfactory DR with deemed acceptable FAR using traffic data of three time scales. The ACDE method is suitable for estimating spatial-temporal dispersion range and produce satisfactory average accuracy.

Traffic Congestion Identification Method Based on GPS Equipped Floating Car

According to the fact that the application conditions needed for traditional link average speed estimation models based on GPS equipped floating cars are too harsh to meet data demands with high precision and low cost for users, which leads to the poor effects of traffic congestion identification system, a new model for estimating link average speed is designed considering the shortcomings of traditional models, and a method for identifying traffic congestion is put forward with link average speed obtained above. Then, the method is verified using measured GPS and GIS data based on a part road network of a large urban. The results show that the precision of traffic congestion identification by the method in this paper is much higher.

Automated incident detection algorithms for urban expressway

In order to improve the efficiency of traffic management system, reduce the losses caused by traffic incidents, an algorithm for application in urban expressway incident detection is proposed based on the change trend of traffic parameters using gain methodology. The traffic data for research were obtained from a real section of urban expressway. It contains volume, speed and occupancy. The time scale of data is 20s, 1min and 5min. The performance of automatic incident detection (AID) algorithms was evaluated based on detection rate, false alarm rate, mean time difference between different algorithms, mean time difference between different times scale, robustness. The detection performance of the proposed algorithm was compared to California algorithm which has been adequately proven in practical applications. The experimental results indicate that the proposed algorithm is competitive with California algorithm using traffic data of three time scales, and the robustness of the proposed algorithm is very satisfactory.

Study on dynamic route guidance method of vehicle based on travel time reliability

This paper proposes a method for application in dynamic route guidance using travel time reliability. The definition and calculation method of Travel time reliability of road section, road path and road network is given in this paper, and three road impedance functions are design for different layer. Based on the road impedance functions and road network model, the reliable dynamic route guidance method (RDRGM) proposed to give the optimal routes, whose objective is not only fast, but is also reliable. The performance of RDRGM is evaluated using simulation data. The experimental results indicate that the proposed RDRGM is satisfactory.

Travel Path Guidance Method for Motor Vehicle

Along with the fast rise in number of motor vehicles, traffic congestions are more and more serious. Traffic congestions cause travel time wasting, traffic accident, environmental pollution, vehicles damage and so on. In order to alleviate traffic congestions deteriorating, a travel path guidance method for motor vehicle based on intelligent materials was designed using traffic simulation technologies, considering two common traffic information release systems, whose names are variable message sign and in vehicle navigation system, which will help doing better to make full use of basic traffic information. Then, the method was verified using VISSIM simulation software. The results show that the traffic congestions of experimental network are relieved obviously by the travel path guidance method in this paper.

Reliability degree estimation of traffic information based on floating car

According to the fact that the quality evaluation process of traffic information estimated by floating cars is neglected or on which models used are unreasonable in existing researches, which lead to blind application of traffic information for users, a method for estimating the reliability degree of traffic information based on floating car is designed considering sample sizes of floating car, and verified with simulated data based on part road network in Changchun, China. The results show that the reliability degree of traffic information based on floating car can be obtained reasonably and accurately using the method in this paper.