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The fuzzy control algorithm that carries on the intelligent control twelve phases three traffic lanes single crossroads traffic light, works well in the real-time traffic flow under flexible operation. The procedures can be described as below: first, the number of vehicles of all the lanes can be received through the sensor, and the phase with the largest number is stipulated to be highest priority,...
A Vehicular Ad Hoc Network (VANET) not only experiences highly mobile and frequently disconnected, but may also have to deal with rapid changes of network topologies, especially when accidents and road traffic jams happen. In this paper, we propose a novel approach to address this issue. Due to the intermittent connectivity in VANET, we adopt the idea of carry and forward, where a moving vehicle carries...
The initial real-time information system for Bus Rapid Transit (BRT) is based on Global Positioning System (GPS) in Ji'nan, it can't provide accurate real-time information of buses arrival/departure at stop, and missing data of GPS is often found, especially under elevated highway or in bad weather. The papers put forward a new way to provide real-time transit information for BRT based on GPS/Signpost...
Measuring control delay at signalized intersections accurately is very important for designing and operating traffic control systems. At present, we usually maintain control delay through observing on the spot or model calculating. However, the control delays obtained by these methods are not accurately and in real time. In the recent years, the development of vehicle infrastructure integration system...
This paper is devoted to design and implement an intelligent scaled car-like mobile robot that possesses the capability of autonomous driving in an extra-road environment and fully autonomous parking on standard parking lots. The final goal is to design a robotized system that is able to process in real-time large amounts of sensor based data, to choose a collision free drivable trajectory thru detected...
In this paper, I utilize a new approach to gathering traffic data over a continuous-flow of traffic rather than at discrete locations in the vehicle-to-vehicle-to-infrastructure (V2V2I) Intelligent Transportation System Architecture, which is a hybrid of the vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) architectures. At present, many existing technologies such as loop detectors and...
The present technologies provide only assistance in a car for controlling the relative speed and distance between two vehicles in the same lane and permit to drive at a constant given speed in a Highway free of traffic and to maintain a constant distance with the vehicle ahead but not collision avoidance But the proposed system provides enhancements in the present adaptive cruise control system, which...
Nowadays Float Car Data (FCD) is playing an important role in real-time traffic information systems. However, traffic signal control in urban road network will cause random delay on float cars, and this kind of delay will result in considerable fluctuation of travel time. Thus, the accuracy of FCD system is seriously affected. In this paper, float car refining models are proposed to calculate the...
Urban network traffic is a complex, nonlinear, unstable system and is significantly affected by immeasurable factors. This paper presents an optimal model to the application of signal coordination for urban network based on real-time traffic volumes. It divides a large signalized network into several subgroups. The number of subgroups, phase-time and offsets can be optimized to achieve an optimal...
Faced with increasing congestion on urban roads, authorities need better real-time traffic information to manage traffic. Kalman filters are efficient algorithms that can be adapted to track vehicles in urban traffic given noisy sensor data. A Kalman filter process model that approximates dynamic vehicle behaviour is a reusable subsystem for modelling the dynamics of a multi-vehicle traffic system...
More and more real-time traveler information Websites have been set up to provide real-time traffic condition information. They derive traffic conditions with different algorithms based on different data sources. We have found that there is a discrepancy among those Websites. This certainly confuses users because they provide inconsistent traffic condition information. As known, people draw conclusions...
Advance Traveller Information Systems (ATIS) are considered a promising tool to alleviate traffic congestion and improve road network performance. They provide real time traffic information and route recommendation to road users, in order to increase their ability to choose the best alternative path. Though such systems have reached a high technical standard, their actual impact in traffic pattern...
One of the major issues of our daily life is traffic congestion. To help solve the traffic congestion problem, a traffic advisory system is proposed to identify the threshold capacity of a road segment. Threshold capacity measures the number of vehicles which can be allowed to pass over a certain road segment without causing congestion. Threshold capacity is used for suggesting improvements of road...
For realizability and real-time processing consideration, a novel vehicle classification method is proposed for heavy traffic flow multi-lanes roads, which can classify vehicles into cars, trucks and buses. In order to monitor two lanes, our system uses three cameras which are mounted overhead of the road and look down the road at an angle of about 60 degrees. Two of them focus on the two lanes respectively...
This paper presents methods for vision-based detection and tracking of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. The goal of this research is to develop suitable methods for automatic visual traffic surveillance to perform detection, tracking and traffic parameter estimation of multiple vehicles in real time as well as tackle environment illumination...
This paper is dedicated to detecting and counting vehicles in day environment by using real time traffic flux through differential techniques. The basic idea used is variation in the traffic flux density due to presence of vehicle in the scene. In the present work a simple differential algorithm is designed and tested with vehicle detection and counting application. Traffic flux estimation will play...
This paper proposes an interval approach to vehicular traffic flow modeling. The developed interval compositional model (ICM) provides a natural way of predicting traffic flows without the assumption of uniform distribution of vehicles along the road. The model can be used for real-time prediction of traffic flows and can be part of road traffic surveillance and control systems. The approach is flexible...
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