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The image includes much useful information, so it's very important in intelligence traffic system. In this paper, one method of object recognition and location based on binocular stereo vision is introduced. Through dealing with two images what are captured from difference points in the ca, the system can analyze the object in images and compute its location, with the real-time and accuracy requirements.
We develop an algorithm aimed at estimating travel time on segments of a road network using a convex optimization framework. Sampled travel time from probe vehicles are assumed to be known and serve as a training set for a machine learning algorithm to provide an optimal estimate of the travel time for all vehicles. A kernel method is introduced to allow for a non-linear relation between the known...
ITS application in logistics operation and how to coordinate their relations in China are issues discussed in the paper. Firstly, background of the paper is introduced. The perception of ITS and its developing situation in China is provided. Then ITS application in logistics operation is analyzed from four aspects, including providing real-time traffic information, vehicle monitor, safe vehicle driving...
In this paper, we propose a Gaussian distribution dynamic freeway segmentation algorithm according to the traffic speed on the freeways. The proposed algorithm adopts a two-stage policy, in the first stage, we divide the freeway into equal length segments via some fixed static standard, e.g. 1000 meters per segment, and we calculate the average speed on each of them. In the second stage, we partition...
In this paper, a novel dispatching and routing scheme of Vehicle Route Guidance Systems (VRGS) is proposed for safe and efficient transportation. The application scenario focuses on the cooperative dispatching and route decision of vehicles within a specific area consisting of streets and several intersections. In addition to computing a specific routing path for the arrival vehicle according to its...
This paper describes a novel method for detecting vehicles on a highway using two visual features: color and texture. Our method consists of a segmentation process computed on the L*u*v* color space and a texture feature extraction procedure based on Dual-Tree Complex Wavelet Transform. We also apply a denoising process using morphological operations to build a background model and make possible the...
In recent years, the demand for safer vehicles has increased. According to traffic accident reports prepared by the Metropolitan Police Department in Japan, almost all traffic accidents are caused by human errors such as driver negligence or operational mistakes. Therefore, future technologies need to be able to precisely detect driver's mistakes and adopt active control in order to increase vehicle...
In the near future automatic systems able to detect the traffic situation and to understand driver behavior and intent will probably become vehicle tools important for improving driver safety. Therefore, robust video processing techniques able to cope with difficult environmental road condition such as luminosity changes, dynamic and cluttered background, etc. are necessary for these applications...
This paper presents real time vehicle counter system for Intelligent Transportation System. A stream of video frames is processed using a sequence of procedures: foreground extraction, object segmentation and labeling, and object classification to differentiate between motor-cycle and car. Foreground extraction utilizing a simple method, background subtraction, and the segmentation utilizing methods...
In a previous paper, a simple approach to lane detection using the Hough transform and iterated matched filters was described. This paper extends this work by incorporating an inverse perspective mapping to create a bird's-eye view of the road, applying random sample consensus to help eliminate outliers due to noise and artifacts in the road, and a Kalman filter to help smooth the output of the lane...
At present, most vehicle monitoring systems are based on the client/server structure. According to their disadvantages, an intelligent public transport monitoring system based on WebGIS is constructed. System working principle, design method and main functions are introduced in detail. A fast and practical road match algorithm, is put forward. The system has been used in two domestic cities and has...
As an advanced means of collecting information of traffic condition of roads, floating car technology has drawn increasing attention from many countries. Whereas, floating car data (FCD) collected by floating car technology often could not cover all the roads of a city. Therefore, in order to increase the integrality and usability of FCD which reflects the traffic condition of roads, a model based...
Robust lane detection is important to the lane departure warning (LDW) for driver assistant system. In this study, lane marks are extracted by searching the lane model parameters in a special defined parameter space without thresholding. The proposed method is based on the lateral inhibition property of human vision system to clear up the edges of lane marks in variant weather conditions; moreover,...
Traffic models play an important role in traffic research and in many traffic applications such as traffic flow prediction, incident detection and traffic control. The traffic problem is one of the challenging issues in large cities nowadays. Intelligent transportation system (ITS) is one of the suitable methods for solving this problem. ITS for Tabriz as a large city in Iran is very vital. Traffic...
In an Intelligent Transport System (ITS), data dissemination based on inter-vehicle communication is effective for acquiring real-time traffic jams information. In this paper, we propose a novel method for traffic jams information dissemination in vehicular ad-hoc networks. In our proposed method, vehicles already trapped in a traffic jams elect leaders according to their locations from upstream and...
This paper is researched and documented so as to be realizable in the form of a practical solution for the impending traffic problem presently observed in cities all over the world in countries like India, Bangladesh, Pakistan, Sri Lanka, Turkey and few other South East Asian and African countries where due to large population and inadequate infrastructure, road safety enforcement and traffic regulation...
National highway ITS has been shifted to "Integrated Road Transportation Management, which incorporates road safety and management technologies, from traditional "Transportation Management". This paper describes the road management system which is suitable to national highway ITS. When efficient integrated road transportation management system (transportation + road management) is developed...
Vehicular wireless networks are prospective tools which contribute to safer and more efficient roads. Therefore, they require the design and development of new communication protocols that should constitute the building blocks of future vehicular communication architecture. Many works have been carried out in this wide research area. In this paper, we propose a reliable distance-based broadcast protocol...
Traffic congestion is a serious problem which traffic engineers all over the world are trying to solve. Congestion increases the uncertainty in travel times leading to human stress and unsafe traffic situations. Better management of traffic through intelligent transportation systems (ITS) applications, especially by predicting the congestion on various roads and informing the travelers regarding the...
A signal processing approach is proposed to jointly filter and fuse spatially-indexed measurements captured from many vehicles. It is assumed that these measurements are corrupted by both sensor noise and GPS positioning uncertainties. Measurements from low-cost vehicle-mounted sensors (e.g., accelerometers and GPS receivers) are properly combined to produce higher quality road roughness data for...
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