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Established the computational model about the safe distance of vehicles. In order to simulate the dynamic model of rear-end, based on VB software to build a freeway rear-end simulation system. Simulation system provides an important means for in-depth study on rear-end probability. To investigate the non-linear relationship of probability and impact factors of rear-end, established probability of...
Information Hovering applies in many applications in Vehicular Ad Hoc Networks, where useful information needs to be made available to all vehicles within a confined geographical area for a specific time interval. A straightforward approach is to have all vehicles within the hovering area exchange messages with each other. However, this method does not guarantee that all vehicles within the hovering...
Supposed the perception of traffic information and the controlling decision of vehicles are correct. The delay of controlling actions is researched in the paper, and the function of driver non-response probability is advanced. Based on the function, the timing curve of divers' response is made. Then the risk model of Rear-ends accidents is established to evaluate the probability of Rear-end accident,...
Vehicle routing problem is an important combinatorial optimization problem. It has an important position in logistics optimization and supply chain management theory. Due to traffic flow, traffic incidents and other factors, the travel speed and travel time of road has large time-variability and randomness in real transport network. The study of vehicle routing problem in time-dependent network has...
Every year, traffic congestion and traffic accidents have been rapidly increasing in proportion to increasing number of vehicles. Although the roadway design and signal system have been improved to relieve traffic congestion, traffic casualties and property damage do not decrease. The traffic accident is a serious issue of society because vehicle is a primary means of transportation. This paper develops...
This contribution presents a method for incorporating information given by a lane estimation system into the pedestrian recognition task. The lane in front of the vehicle is represented by a three dimensional set of points belonging to the middle of the road. A cascaded classifier solves the first stage of pedestrian recognition task delivering a list of detections in a camera image. We present a...
Recently, the problem of automatic traffic accident recognition has appealed to the machine vision community due to its implications on the development of autonomous Intelligent Transportation Systems (ITS). In this paper, a new framework for real-time automated traffic accidents recognition using Histogram of Flow Gradient (HFG) is proposed. This framework performs two major steps. First, HFG-based...
This paper describes an approach for lane segmentation in traffic monitoring systems based on probability map extracted form vehicles movement information. In traffic monitoring system, the region that a vehicle passes through might belong to a certain lane. The more vehicles pass through a certain region, the more likely it belongs to a certain lane, and then we can get probability map of the lane...
This paper deals with a new class of Markov Chain type models that can be effectively used for real time modeling and on-line learning of nonlinear systems with uncertainties. We expand the concept of the generalized Markov Chain - a probabilistic model that synergistically combines the idea of transition probabilities with the information granulation paradigm. We consider generalized Markov chains...
This paper describes hybrid fusion module used in a strong localization context (POMA) for embedded vehicle applications. This work has been developed in order to give an answer to the POMA (Positioning, Maps and local referencing) sub project objectives. These objectives are to provide, for a set of high level applications, a positioning service included a service quality, a metric accuracy (lane)...
In this paper we propose a novel design for the Lane Change Assistant (LCA). For drivers on the highway, LCA advises them on whether it is safe to change lanes under the current traffic conditions. We focus on how the LCA can provide a reliable advice in practice by considering the issues of changing circumstances and measurement uncertainties. Under some generic assumptions we develop a micro-simulation...
This work aims at detecting and tracking vehicles in in-car video. Rather than enhancing shape analysis of various vehicle types and road situations, this work focuses on vehicle and background motions because they are more general than shapes and colors of cars in various road environments. Basic features are tracked stably using corners, intensity peaks, and horizontal line segments. We use the...
The drivers' driving behavior tends to be cautious at high-speed. As one of drivers' driving characteristics, the caution behavior is more obvious when the driving speed increases. Based on various analysis of driving behavior at urban roads and the one-dimensional cellular automaton traffic flow model, this research proposed the cautious decelerate process of vehicles. Then a cellular automaton model...
Analyzing driving behavior decision risk is the key to evaluate the road traffic safety. In order to understand the production mechanism of behavior decision risk preferably, the application of information asymmetry theory will set up the decision risk of driving behavior model centering on the traffic accident probability, the accident severity and the traffic information asymmetry degree in this...
A lot of crashes happened at signalized intersections in the cities. As right-angle crashes at signalized intersection tend to be severe, this paper analyzes factors affecting right-angle crash injury severity. Our study made use of 197 four-legged signalized intersections from Orange and Hillsborough counties, Florida. Information which includes roadway inventory data, traffic control and operational...
In the real road traffic system, local congestion always occurs near the intersections or bus stops, which have become the main bottlenecks of the urban traffic. Considering the combined effect of intersection and a near-by bus stop, this paper investigates the lane-changing and dwelling behaviors in a two-lane mixed traffic and carries out the simulation by using a cellular automaton model under...
Within all the casualties of road traffic accident in China pedestrian death consists of 26% every year. Pedestrian safety has been a significant problem in developing countries. In the pedestrian vehicle conflict simulation, critical cross gap in the successive traffic flow for the pedestrian is essential. By analyzing the interlaced time gap and its distribution whether pedestrian choose to cross...
One of the differences of freight modeling to passenger modeling is its complex pattern in supply chain process. Probability of tour is a function of network and impedances among destinations and fleet constraints. It is obvious that in network with passage restrictions (in residential streets and collectors) for heavy vehicles, the number of destinations in each tour (tour length) will increase and...
The driver emergency braking behavior to be distinguished and predicted exactly was difficult. In order to gain the testing data of driver emergency braking action, 7 professional drivers were selected and 3 scenes of driver braking behavior were designed and simulated by means of road test. And the testing data were captured by the data acquisition system with sensors. Utilizing relative fuzzy membership...
City-scale tracking of all objects visible in a camera network or aerial video surveillance is an important tool in surveillance and traffic monitoring. We propose a framework for human guided tracking based on explicitly considering the context surrounding the urban multi-vehicle tracking problem. This framework is based on a standard (but state of the art) probabilistic tracking model. Our contribution...
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