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A traffic information integration system of signal intersection with a multi-mode data collection joint-method is presented. Data acquisition modes at signal intersections contain the one with vehicle loop detector and traffic signal controller, and the other based on real-time video technique. Five basic parameters can be estimated by analyzing flow data from loop detectors with traffic signal timing...
A kind of CAN bus vehicle instrument cluster is studied and designed in this paper based on the CAN (Controller Area Network)bus technology. This vehicle instrument cluster uses MC9S12XHZ512 dual-core processor as the main controller, containing signal input module, data processing module and display module which compose the hardware platform, The software adopts the high reliability real-time kernel...
Kalman filter is used to integrate the data from inertial navigation systems (INS) and global position systems (GPS) for vehicle navigation to provide position, velocity and attitude. However several drawbacks of Kalman filter such as noise, modeling of the system, initial noise parameter are restricted its application and implementation. In this paper the real time implementation of GPS/INS integration...
In this paper, we present a preliminary application for the iPhone™ that uses the built-in GPS receiver along with the web capabilities utilizing a V2I architecture to send a continuous flow of data to a central server where FreeSim, a real-time traffic simulator, applies the proportional model algorithm to determine the time to traverse a roadway in order to report in real-time the current flow of...
Travel time estimation is one of the core problems in Intelligent Transportation System (ITS) and Floating Car Data (FCD) is an important data source used by many cities to estimate it. This paper utilizes the Next Generation Simulation (NGSIM) project dataset to simulate the FCD scenario, to test the accuracy of FCD based link travel time estimation. In the first part, the calculated time from simulated...
Accurate and precise prediction of traffic variables such as speed, volume, density, travel time, headways etc. is important in traffic planning, design, operations, etc. Short term prediction of these variables plays a very important role in Intelligent Transportation Systems (ITS) applications. Under Indian scenario, this short term prediction of traffic variables has gained greater attention with...
Real-time traffic data is the main information source of Traffic Management Center (TMC) and Intelligent Traffic System (ITS), the qualities of collected data will affect the accuracy of the entire traffic control system directly. To improve the qualities of data, error processing must be used. In the paper, based of the large number of studies in related fields at home and abroad, the error processing...
In this paper, a Quasi-shot Segmentation Vehicle Detection (QSVD) method is proposed to improve the accuracy and robustness of traffic flow detection. The QSVD method is based on histogram intersection method to find the biggest difference between successive frames. Adjacent frames are considered in when vehicle is detected in current frame. Relying on the QSVD method, vehicle can be detected by signal...
This paper analyzes the problems of creating method of traditional spatial index in the digital map for car-navigation system and suggests a new kind of creating method of spatial index based on two-level interleaving grid. It analyzes the principle of this algorithm and discusses the retrieval and storage technology of road information. The experimental result indicates that the use of this method...
Based on the current situation of underwater navigation, this paper presents an underwater topographic matching navigation method which is the integration of TERCOM and MCTM algorithm. First of all, we use the TERCOM to acquire a rough position of vehicle. Secondly, a search area is found according to TERCOM positioning result. The multi-contour matching algorithm is implemented in the area. The algorithm...
Due to the continuously increasing mobility demand the efficiency of the existing road infrastructure should be improved. Advanced control and management techniques offer promising, cost effective and environmentally friendly solutions to the problem. As traffic and vehicle control/management applications become more advanced they require more and more detailed and accurate real-time observations...
Differential GPS satellite positioning can eliminate pseudo range and pseudo range-calendar, can ionosphere delay and troposphere delay of the elimination of pseudo range, and the US government can reduce the impact of SA policies on satellite, positioning accuracy greatly enhanced. Therefore, the differential GPS positioning technology has been a rapid development and wide application in recent years...
Presently, Kalman filter (KF) is used to fuse data from both inertial navigation systems (INS) and Global Positioning Systems (GPS) to provide position, velocity and attitude information. However, several drawbacks associated with KF like its immunity to noise, its dependency on predefined errors models, has encouraged research activates towards investigation of other integration techniques. This...
Traffic flow data is the base of traffic real-time control, traffic analysis and support of traffic management. Due to detection equipment failure, transmission failure, and outside interferences, there exist various errors in the original detected data and which will influence information accuracy. And the non-unified data standards also bring the difficulty and interference to the data analysis,...
The data of vehicle flow is very important to control and lead to traffic in intelligent transportation systems (ITS).We present a method for detecting vehicles in image sequences without prior knowledge about the position of the road. A single camera placed in a moving vehicle provides image data. The image seen from camera located beside or upon the road can be used for vehicle detection ,facility...
Nowadays the floating car technology is playing a more and more important role in the dynamic route guidance, congestion management, traffic incidents detection, because it can collect more accurate travel time information in real-time traffic service systems. However the key problem of using it is that the moving direction and driving behaviors of floating car at low speed are dynamic and quite complex,...
Real-time accurate localization is essential for in many underwater vehicle applications. In particular, close-range seafloor observation requires precise positioning in relation to bottom structures or to coordinates on a map. This paper proposes a real-time terrain based localization method that realizes robust positioning that does not require any artificial landmarks. The method stochastically...
Navigation of underwater vehicles has been and remains a substantial challenge to all platforms. The need for improved accuracy and robustness, sustainability, and de-risking develops with the emergence of new applications, and with the growing acceptance of autonomous underwater vehicles (AUVs) in both military and civilian institutions. One of the main driving factors is the ability to carry out...
This paper presents detection and classification of moving Thai vehicles based on traffic engineering knowledge. The proposed technique consists of two main parts as follows. The first part is the detection of moving vehicles using image tracking methods e.g. background and foreground (BG/FG) detection and blob tracking. Such methods can provide the values of vehicle features such as position, length...
Real-time pattern recognition of one-dimensional waveform often requires both rapidity and accuracy. This paper presents a one-dimensional wave separation coding method, which simulates the way of human to understand figure, in order to carry through the graphical analysis of the wave crest or trough and their amounts, and to form pattern data-base of the waveform code. The model can make pattern...
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