Congestion on highways is becoming a bigger problem every day. With the increasing need for more highway capacity, which cannot always be met by building new highways, opportunities must be found in state-of-the-art technologies for more efficient traffic management. In this thesis traffic control is studied where the traffic consists solely out of intelligent vehicles arranged in platoons, i.e...

Traffic congestion in highway networks is one of the main issues to be addressed by today’s traffic management schemes. Automation combined with the increasing market penetration of on-line communication, navigation, and advanced driver assistance systems will ultimately result in intelligent vehicle highway systems (IVHS) that distribute intelligence between roadside infrastructure and vehicle...

Previous studies have shown the ability of vehicle platooning to improve highway safety and throughput. With Vehicular Ad-hoc Network (VANET) and Cooperative Adaptive Cruise Control (CACC) system, vehicle platooning with small headway becomes feasible. In this paper, we developed a platoon management protocol for CACC vehicles based on wireless communication through VANET. This protocol include...

We present results from vehicle to vehicle RF propagation measurements centered at Se0 M H z We focus on determining dehy s p r e a probability distribution parameters (in particular; the Rician K factor) and p t h loss rates. Our results are discussed with implications for the use of RF communication between automobiles in Intelligent Vehicle Highway System (IVHS). Our paper consists of a desc...

Platoon formation of highway vehicles is a critical foundation for autonomous or semiautonomous vehicle control for enhanced safety, improved highway utility, increased fuel economy, and reduced emission toward intelligent transportation systems. Platoon control encounters great challenges from vehicle control, communications, team coordination, and uncertainties. This paper introduces a new me...

Most computer vision systems for vehicle guidance developed in the past were designed for the comparatively simple highway scenario. Autonomous driving in the much more complex scenario of urban traffic or driver assistance systems like Intelligent Stop&Go are new challenges not only from the algorithmic but also from the system architecture point of view. This contribution describes our curren...

in our country, student transportations’ security and driving accidents statistics for students is one of the major concerns for relevant organizations such as educational organization. in current year, a system, was named sepand, was formed in city taxi driver :::::::union::::::: by educational organization, naja traffic and city taxi driver :::::::union:::::::. in this systems’ plan, basis on...

Traffic congestion in the largest cities of the world is a growing problem that has to be taken into account seriously, not only by governments, but also by the private sector. After an extensive survey in the field of Intelligent Vehicle / Highway System (IVHS), different alternatives are analyzed to solve this dilemma and the concept of Intelligent Vehicle / Highway System is proposed as the ...

To extend the functionalities of Advanced Driver Assistance Systems (ADAS) and have a more accurate control on the parameters of sensors mounted on an intelligent vehicle, a tool that can classify the scenarios which the vehicle moves in, is needed. This article presents a comparison of three classification techniques (PCA, ANN and SVM) to obtain a fast and robust scene classifier based only on...

Adaptive cruise control (ACC) systems are currently being developed by automotive manufacturers for highway vehicle automation [3],[4]. An ACC system enhances regular cruise control by using an on-board radar to maintain a desired spacing from a preceding vehicle that has been detected in the same lane on the highway. The firstgeneration ACC systems are currently available in Japan and Europe a...