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In this paper, we propose a novel and simple method for people and vehicles classification in far distance video surveillance. In this approach, moving objects are firstly segmented from background using a background subtraction technique. Secondly, edges of moving objects are extracted using canny operator. Then straight lines of edges of moving objects are extracted by Hough transform and feature...
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...
Vehicle trajectories are and can be used in various intelligent transportation systems applications including driver behavior modelling and safety. Video-based approaches have been used to extract a large number of non-cooperative trajectories. However, it is difficult to evaluate the accuracies of the resulting trajectories. An algorithm-specific simulation tool is developed to evaluate the feature-grouping...
The localization of intelligent vehicle is an important research topic in the field of intelligent transportation systems. This paper proposes a new vehicle localization method by fusing mono-camera, low-cost GPS and map data. The basic idea is: a possible position range of the vehicle is determined by fusing low-cost GPS output and the map data; Lateral spatial information for high-accuracy localization...
Project of applied research called “Analysis of technical and metrological requirements for GNSS receiving devices and their operations” is a part of a Metrology development program funded by Czech Office for Standards, Metrology and Testing. The project started in 2008 and its second part executed in 2009 was focused on preparation of certification procedures for first ITS applications and pilot...
Recently, the most of traffic condition is researched by the person. It is studied widely to research traffic condition automatically. A transportation control system is being used to collect these data and to then perform analysis. A typical example is information technology like ITS(Intelligent Transport System). But there are many problems. Cluster distinction and template matching is used as conventional...
With the rapid development of economy, private cars grow at an exponential rate and cities become more and more crowded. The speed of expanding urban area and increased urban road significantly lags behind the economic development. So the introduction of advanced Intelligent Transportation Systems (ITS) may be a well solution, which can solve the urban transport problems fundamentally. As the emergence...
Since the increasing of vehicle flow, manual or semiautomatic tolling mode has not meet the needs of vehicle operation to the charging managing system on speedways nowadays, which induced serious traffic congestion at the charging passageway and caused enormous economic loss. The construction of national fundamental geographic information system has achieved initial success at present, with the applications...
To test the vehicle license plate area is a main task based on video surveillance in ITS, especially for high-resolution video streams, now many kinds of methods are invalid for their complexity and slow speed. In this paper a new method was proposed to accomplish this task based on convolution energy. Firstly set an approximate detection area and generate brightness curve from the difference image...
Estimation of traffic flow with reasonable accuracy is essential for successful implementation of an intelligent transportation system (ITS). Crossroads are important part of urban traffic system, whose flow prediction on each direction is one of the most extraordinary key functions in the urban ITS. Some forecasting models have been developed, but these methods' precision usually can't meet with...
Recently, with the development of Intelligent Transport System (ITS), vehicular wireless communication technology has received more and more considerable attention. Many researchers have done a lot of work for developing a new kind of wireless network to build a vehicle to vehicle (V2V) wireless transmission platform, which increases various applications on ITS. In such networks, wireless communication...
The Intelligent Transportation Institute at the University of Minnesota is developing a Cooperative Intersection Collision Avoidance System - Stop Sign Assist (CICAS-SSA) for rural intersections as an alternative to signalized intersections. When deployed, the system will provide a driver stopped at a thru-stop intersection information about the available gaps in the mainline road traffic stream....
Link travel time is used to represent the jam level of road. Probe car system calculates link travel time based on taxi GPS data. Basically, a taxi has two statuses: heavy taxi (with passenger) and light taxi (without passenger). By analyzing taxi GPS data and link travel time, generally, we found average link travel time generated by heavy taxi is shorter than that generated by light taxi on the...
The motivation of this paper is to propose a simple and reliable method to identify on-road vehicle events, particularly in the driving situations. A content rhythm is extracted by applying a virtual line lies on the same position of each frame. Thereupon a simplified representation of a continuous video is to record the temporal information of vehicle status. Thus, vehicle situations such as lane...
This paper introduce a method of car license plate location which use the hue component in effect. Strengthen the blue component firstly, then set the appropriate threshold for location according to the regional color information. If no useful, transform the image by HSV, based on strengthening the blue component, and make the other regional black.Thus we can locate the car license plate accurately.
The conceptual basis for automated highway systems (AHS) was established 70 years ago, long before it was technologically feasible. The historical context of thinking about AHS since then is reviewed, followed by a focus on the development of PATHpsilas research program on AHS during the past 20 years. The primary contributions to knowledge from the PATH AHS research are summarized, followed by identification...
The problem of vehicle detection and segmentation in outdoor scenes is tackled. Vehicle shadows pose problems in vehicle segmentation step. In this paper, it is proposed to employ temporal edge density information as prior knowledge to distinguish moving vehicle from moving shadow and background in a traffic surveillance system. Experimental results showed good moving vehicle segmentation performance...
In the development of intelligent vehicles, path tracking of unmanned vehicle is a basis of autonomous driving and automatic navigation. It is very important to find the exact position of a vehicle for the path tracking, and it is possible to get the position information from GPS. However, the information of GPS is not the current position but the past position because a vehicle is moving and GPS...
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