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Traffic jam is one of the big and complex problems which happens in many big cities around the world. The advances in technology have enabled tracking moving objects such as vehicles move on road networks. Those data is called spatio-temporal data. By using data mining techniques, analysis on traffic characteristics can be conducted to detect potential area of traffic jam. This information is particularly...
This paper proposes a generic approach combining a bottom-up (low-level) visual detector with a top-down (high-level) fuzzy first-order logic (FOL) reasoning framework in order to detect pedestrians from a moving vehicle. Detections from the low-level visual corner based detector are fed into the logical reasoning framework as logical facts. A set of FOL clauses utilising fuzzy predicates with piecewise...
Video detector is used widely in modern city to monitor the traffic situation. But the data from detectors is usually not fully used. In this paper, we adopt data mining method to deal with these data in order to analyze the traffic flow character and estimate OD matrix more accurately. On the basis of study data character carefully, we discuss the traffic flow feature from 3 parts: spatial, temporal...
In this paper, toll collection data in Guang Dong province are investigated. After pre-processing data, we obtain spatial characteristics and temporal characteristics of OD-Matrix, and further we take insight into the travel times among different vehicle types. The results obtained in this paper extend the corresponding results given in previous works. The study is very important to traffic management...
We present a two-layer night time vehicle detector in this work. At the first layer, vehicle headlight detection is applied to find areas (bounding boxes) where the possible pairs of headlights locate in the image, the Haar feature based AdaBoost framework is then applied to detect the vehicle front. This approach has achieved a very promising performance for vehicle detection at night time. Our results...
We present a method to detect and recognize functional scene elements in video scenes. A functional scene element is a location or object that is primarily defined by its specific function or purpose, rather than its appearance or shape. Our method combines techniques from video scene analysis with functional recognition to decompose a video scene into its functional elements such as parking spots,...
The research of feature corner recognition for the calibration target is a crucial area for a vision-based measurement system. For the disability of detecting the corner's location in a vehicle test system accurately, the theoretical errors based on Harris algorithm are analyzed. Experimental results show that the method can not be used in the vision-measured field as the corner cluster phenomenon...
The paper presents night-time vehicle classification using an embedded vision system based on an optical transient sensor. This neuromorphic sensor features an array of 128times128 pixels that respond to relative light intensity changes with low latency and high dynamic range. The proposed algorithm exploits the temporal resolution and sparse representation of the data, delivered by the sensor in...
The term Intelligent Transport System generally refers to a system that manages road traffic using information and communication technologies. One of the most important parts of it is the vehicle detection which provides vehicular data such as volume, density, and speed. This paper proposes a vehicle detection method which measures volume and speed using vehicle-to-infrastructure communication and...
Phase truncation is a supplemental technique to help decrease the delay at signalized intersections in unusual flow restriction, by re-allocating the unusable green time to other phases. Previous studies have shown how to implement phase truncation in NEMA controllers with multiple rings and reported it to work well. Nevertheless, it is unclear whether phase truncation will always be beneficial. With...
Trained detectors are the most popular algorithms for the detection of vehicles or pedestrians in video sequences. To speed up the processing time the trained stages build a cascade of classifiers. Thereby the classifiers become more powerful from stage to stage. The most popular classifier for real-time applications is Adaboost applied to rectangular Haar-like features. The processing time of these...
Many signalized intersections are associated with vehicle crashes due to dilemma zone issues. Dilemma zones are defined in either time or space, as zones where some drivers may decide to proceed, and some may decide to stop at the onset of yellow. Dilemma zone can therefore lead to rear-end crashes, when a driver decides to stop while their follower decides to proceed, and/or right-angle crashes,...
Aiming at vehicle detection and tracking problems in video monitoring and controlling system, this paper mainly studies vehicle detection and tracking problems in conditions of high traffic density in daytime. This paper is distinguished by two key contributions. First, we develop an improvement - SEAP (Simple but Efficient After Process) which checks the detection results in an accurate way and is...
In this paper, we firstly describe improved Adaboost algorithm, and then introduce wavelet moment, which has rotation, shift, scale moment invariants and multi-resolution characteristic, and which can not only extract image local feature, but also can extract global feature. so it is more stronger to oppose noise. This paper proposes dynamic pyramid changing idea of detector scale. A cascade classifier...
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,...
This paper analyzed the red running behaviors at urban signalized intersection. It includes unintentional red light running that is easy to arouse the sympathy of traffic managers other than intentional behavior of driver that should be punished. Based on the analysis of the driver behavior at the phase change interval, the existence of dilemma zone is regarded as an important factor, which causes...
To deal with various traffic situations, traffic information collection, transmission and process is key technologies in ITS system. The development and application of traffic information collection system is widely used in developed country, while it is just at the very beginning stage in our country, possessing broad application foreground. In this paper, wireless magneto-resistive sensor network...
This paper proposes and assesses a lane-blocking detection methodology using relative speed and the correlations of lane changing trajectories of the vehicles to detect a lane-blocking incident. Using a microscopic traffic simulation environment, we show that the proposed algorithm has higher detection rate and lower false alarm rate than an existing algorithm using lane changing probabilities when...
In order to improve the precision and real-time character of the traditional video-based traffic detector, a novel vehicle detection system based on line scan camera is developed. In this system, the vertical view images of vehicles are captured by two line scan cameras which are mounted on the pole's arm over the roadway; The distance between two cameras is 2 meters along the road. The vehicle's...
A new method of two-way traffic signal timing control based on speed is presented. The whole control structure is divided into the decision-making level and control level. Two new measurements are put forward which weigh traffic urgency degree and differentiate traffic flow states separately based on traffic demands. Two-way traffic control and one-way traffic control can be transformed into each...
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