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Airborne LiDAR (ALS) data are characterized by involving not only rich spatial but also temporal information. It is possible to extract moving vehicles with motion artifacts from single-pass airborne LiDAR data, based on which the velocity of vehicles can be derived. In this paper, a series of methods for velocity estimation of moving vehicles using airborne LiDAR data is presented and evaluated....
This paper analyzes the effect of penetration rate to the estimation error in mobile phone based traffic state estimation systems. More concretely, the error-tolerance is analyzed based upon the penetration rate of participating mobile phones. In addition, a hybrid model by which not only real-time data but also the historical data utilized under a suitable data mining technique is introduced. This...
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...
The construction and application of electronic port gate system, which is a vivid application scenario of Internet of Vehicles, will benefit the entry and exit of vehicles for quick clearance guidance. It is also a great help for the monitoring of comprehensive import and export commodities. Because of the complexity of entry and exit port environment, which is different from traditional applications...
Vehicle Class is an important parameter in road traffic measurement. In this paper authors developed an algorithm to find the accuracy of the system for vehicle classification using different techniques. The algorithm mainly reads the inference system and applies various input samples, check the class of each sample and calculate the accuracy. The class is identified by checking the wheel base, ground...
Map-matching is a key component of ITS (Intelligent Transport System). Traditional map-matching algorithms based on geometry technology always cannot reach a good accuracy. Some other algorithms which use probabilistic theory, fuzzy logic, and belief theory usually are too complex to be applied to the practice for real-timeness. In this paper, we build a bidirectional node-link road network model...
This paper presents a video-based intelligent multidrive vehicle retrograde detection algorithm. Through the vehicle detection and tracking to determine the traffic flow direction on the road, compare the movement direction of vehicles and the traffic flow direction on the road to realize intelligent retrograde detection of multi-drive vehicles. Experiments show that the method is simple and effective...
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...
This paper proposes a new method called TravRes for accurate reconstruction of high-resolution (e.g. 500m*60sec) time-space speeds on the basis of sampled low-resolution floating car data. The new method is superior to naïve methods, methods which reconstruct time-space speeds by simply dividing travel distance by travel time between consecutive FCD samples. The new method uses an iterative trajectory...
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...
This paper aims at detecting preceding vehicles in a variety of distance. A sub-region up-scaling scheme significantly raises far distance detection capability. Three frame pipeline structures involving object predictors are explored to further enhance accuracy and efficiency. It claims a 140-meter detecting distance along proposed methodology. 97.1% detection rate with 4.2% false alarm rate is achieved...
Based on the camera calibration principle of Tsai's two stage method, a vehicle speed measurement method by video was put forward and the error analysis of camera calibration and vehicle speed measurement were carried out in this paper. Firstly, the internal and external parameters of the camera were gained based on Tsai's two stage method. Secondly, the displacement offset of the same vehicle's feature...
Automatic License Plate Recognition is useful for real time traffic management and surveillance. License plate recognition usually contains two steps, namely license plate detection/localization and character recognition. Recognizing characters in a license plate is a very difficult task due to poor illumination conditions and rapid motion of vehicles. When using an OCR for character recognition,...
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...
This paper presents a vision-based approach with unsupervised learning for robust, accurate and stable detection of the drivable road to deal with autonomous driving in changing environments. This approach is based on a formulation of stereo with homography as a Maximum A Posteriori (MAP) problem in a Markov Random Field (MRF). Under this formulation, we develop an alternating optimization algorithm...
Vehicle type (make and model) recognition provides high level of security to the systems that are solely based on automatic license plate detection and recognition. Most of the work in this direction has been done in controlled conditions. In this paper we evaluate in an extensive experimental setting, the strength and weakness of various global and local feature based methods on vehicle images captured...
A vision based method of vehicle detection was proposed. Firstly, a improved common region algorithm to realize the background subtraction which having a better robustness and easy to determine the background image real timely. Then a threshold segmentation method is used in object extraction stage. Compared with the existing algorithm, such an iterative algorithm based on weighted average of thresholds...
The orientation of license plate is a key step in the license plate recognition system (LPR). Its result directly influents the performance of the LPR. According to the different application environment, there are a lot of different location methods. This paper put forward a new kind of orientation method. Experiments on different light and different kinds of vehicle images were conducted. The experimental...
Road construction sites often are the reason for traffic jams and accidents due to the reduced road width. Driver assistance systems for these demanding environments highly benefit from a digital representation of the road layout. This digital map includes all important infrastructure elements, such as barriers, temporary road markings and guiding reflector posts. The paper describes the automatic...
The limits of spatial attention during driving were examined using a dual-task performance paradigm in present study. Subjects were asked to follow a lead vehicle that varied in speed while also detecting a light change in an array located above the roadway. The results show that reaction time increased and accuracy decreased as a function of the horizontal location of the light change and the distance...
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