Moving Vehicle Tracking Based on Kalman Filter

2011 ◽  
Vol 71-78 ◽  
pp. 3950-3953 ◽  
Author(s):  
Yan Yan ◽  
Yan Cong Shi ◽  
Zeng Qiang Ma
Keyword(s):  
Kalman Filter ◽  
Intelligent Transportation Systems ◽  
Tracking Error ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Vehicle Tracking ◽  
Practical Application ◽  
Moving Vehicle ◽  
Tracking Method ◽  
Fundamental Part

The technology of vehicle tracking is a very critical and fundamental part in the Intelligent Transportation Systems (ITS). After the principle of Kalman filter was introduced, a method of vehicle tracking based on basic Kalman filter is proposed and the tracking error analysis is carried out in this paper. The experiment results show that the vehicle tracking method is robust, accurate, easily achieved and has good practical application merit.

Detection and Tracking of Vehicles Based on Colour Probability Density

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiaohua Shu ◽  
Yonghong Long ◽  
Xiyu Xiao ◽  
Pei Shu
Keyword(s):  
Probability Density ◽  
Intelligent Transportation Systems ◽  
Mean Shift ◽  
Intelligent Transportation ◽  
Parameter Extraction ◽  
Transportation Systems ◽  
Vehicle Tracking ◽  
Target Area ◽  
Traffic Condition ◽  
Tracking Method

Vehicle monitoring is a very important part in the intelligent transportation systems towards real-time monitoring of intersection traffic condition, the dynamic traffic incident detection and traffic parameter extraction. This paper proposes a vehicle tracking method based on mean shift. During the detection period, tracking objects of vehicles are constructed. The current vehicle position is predicted from the target area of former frame. In the candidate area of the target image, foreground area mask is adopted as a condition whether a pixel is selected; this makes the colour probability density to more accurately reflect the characteristics of the vehicle, and avoids the background region's influence on the mean shift iterations. Experiments show that this method can effectively detect the position of the vehicle, and provides an effective vehicle tracking method in the intelligent transportation system.

scholarly journals A Multi-Loop Vehicle-Counting Method under Gray Mode and RGB Mode

2021 ◽  
Vol 11 (15) ◽  
pp. 6831
Author(s):  
Yue Chen ◽  
Jian Lu
Keyword(s):  
Intelligent Transportation Systems ◽  
High Efficiency ◽  
Road Traffic ◽  
Low Cost ◽  
Rapid Development ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Counting Method ◽  
Moving Vehicle ◽  
Available Information

With the rapid development of road traffic, real-time vehicle counting is very important in the construction of intelligent transportation systems (ITSs). Compared with traditional technologies, the video-based method for vehicle counting shows great importance and huge advantages in its low cost, high efficiency, and flexibility. However, many methods find difficulty in balancing the accuracy and complexity of the algorithm. For example, compared with traditional and simple methods, deep learning methods may achieve higher precision, but they also greatly increase the complexity of the algorithm. In addition to that, most of the methods only work under one mode of color, which is a waste of available information. Considering the above, a multi-loop vehicle-counting method under gray mode and RGB mode was proposed in this paper. Under gray and RGB modes, the moving vehicle can be detected more completely; with the help of multiple loops, vehicle counting could better deal with different influencing factors, such as driving behavior, traffic environment, shooting angle, etc. The experimental results show that the proposed method is able to count vehicles with more than 98.5% accuracy while dealing with different road scenes.

scholarly journals Experimental Evaluation of LoRa in Transit Vehicle Tracking Service Based on Intelligent Transportation Systems and IoT

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1950
Author(s):  
Felipe Jurado Murillo ◽  
Juan Sebastián Quintero Yoshioka ◽  
Andrés David Varela López ◽  
Ricardo Salazar-Cabrera ◽  
Álvaro Pachón de la Cruz ◽  
...  
Keyword(s):  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Experimental Information ◽  
Transportation Systems ◽  
Vehicle Tracking ◽  
Receive Signal Strength Indicator ◽  
Area Network ◽  
Wide Area Network ◽  
Systems Architecture ◽  
Transmission Parameters

Long-range (LoRa) technology is a low power wide area network (LPWAN) technology that is currently being used for development of Internet of things (IoT)-based solutions. Transit transport, mainly in medium-sized cities where transit vehicles do not have exclusive lanes, is a service that can be improved with a tracking service using technology such as LoRa. Although some proposals exist, there is not enough experimental information to validate the LoRa technology as adequate. This article: (a) evaluates the operation of LoRa technology in a transit vehicle tracking service in a medium-sized city, based on an Intelligent Transportation Systems architecture and IoT; and (b) investigates optimal LoRa technology configuration parameters for the service. Experiments were performed in a semi-controlled environment using LoRa devices and a gateway, by measuring the received packets and the receive signal strength indicator (RSSI) and modifying: (a) distance; (b) number of devices; and (c) the main LoRa transmission parameters. Obtained results show the ideal values of parameters vary considerably with distance and number of devices used. There were very few settings of the experiments in which the RSSI and packet levels were adequate while distance and number of devices were both changed.

scholarly journals Service Development Model in Intelligent Transportation Systems for Colombian Cities

2015 ◽  
Vol 13 (34) ◽  
pp. 31-48 ◽  
Author(s):  
Álvaro Pachón ◽  
Tomás A. Liscano ◽  
Dorancé Montoya
Keyword(s):  
Intelligent Transportation Systems ◽  
Intelligent Transportation System ◽  
Information Service ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Development Model ◽  
Service Development ◽  
Practical Application ◽  
Traveler Information ◽  
Close Relationship

Mobility and transportation are the keys to a competitive city. There is a close relationship between the development of a transportation infrastructure and the economic growth of a city. Efficient transportation improves the live of citizens and brings production centers closer to markets, thus favoring commerce. This article presents a model for the planning and deployment of services in the Intelligent Transportation System [ITS] of Colombian cities. This model takes regulations, frameworks and standards into account. The planning and deployment of a traveler information service is shown as a practical application. An experimental prototype of this service is currently being tested at three locations in Cali, Colombia.

scholarly journals Straightening Curved Traffic Lanes in Video

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Nick Miller ◽  
David M. Swart
Keyword(s):  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Image Sequences ◽  
Vehicle Tracking ◽  
Traffic Information ◽  
Interpolation Scheme ◽  
Uncalibrated Cameras ◽  
Vehicle Motion ◽  
Straight Lines

<p>Video based vehicle sensing from uncalibrated cameras provides<br />useful traffic information to modern Intelligent Transportation Systems<br />(ITS). This requires vehicle tracking and Turning Movement<br />Counts (TMCs). Traffic scenes contain vehicle motion constrained<br />along possibly curved traffic lanes which can be normalized into<br />straight lines. A simple interpolation scheme is presented which<br />projects to image sequences where vehicles always appear to move<br />straight horizontally for simplified vehicle tracking.</p>

Quality indicator of the smart city transportation and logistics system

2020 ◽  
Vol 19 (11) ◽  
pp. 2116-2135
Author(s):  
G.V. Savin
Keyword(s):  
Intelligent Transportation Systems ◽  
Smart City ◽  
Urban Areas ◽  
Human Life ◽  
Life Quality ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Logistics System ◽  
Organization And Management

Subject. The article considers functioning and development of process flows of transportation and logistics system of a smart city. Objectives. The study identifies factors and dependencies of the quality of human life on the organization and management of stream processes. Methods. I perform a comparative analysis of previous studies, taking into account the uniquely designed results, and the econometric analysis. Results. The study builds multiple regression models that are associated with stream processes, highlights interdependent indicators of temporary traffic and pollution that affect the indicator of life quality. However, the identified congestion indicator enables to predict the time spent in traffic jams per year for all participants of stream processes. Conclusions. The introduction of modern intelligent transportation systems as a component of the transportation and logistics system of a smart city does not fully solve the problems of congestion in cities at the current rate of urbanization and motorization. A viable solution is to develop cooperative and autonomous intelligent transportation systems based on the logistics approach. This will ensure control over congestion, the reduction of which will contribute to improving the life quality of people in urban areas.

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