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This paper describes a novel driver-support system that helps to maintain the correct speed and headway (distance) with respect to lane curvature and other vehicles ahead. The system has been developed as part of the Integrating Project PReVENT under the European Framework Programme 6, which is named SAfe SPEed and safe distaNCE (SASPENCE). The application uses a detailed description of the situation...
Systems based on satellite localization are enabling new scenarios for road charging schemes by offering the possibility to charge drivers as a function of their road usage. An in-vehicle installation of a black box with the capabilities of a Location Based Service terminal suffices to deploy such a scheme. In the most straightforward architecture a back-end server collects vehicle's location data...
One opportunity to manage the increase of freight transportation and to optimize utilization of motorway capacities is the concept of truck platoons. With the aid of Advanced Driver Assistance Systems, trucks are electronically coupled keeping very short gaps (approx. 10 meters) to form truck platoons on motorways. This contributes to optimization of traffic flow and reduction of fuel consumption...
Vehicular movements are bounded to some rules and regulations based on the environment and road networks. Visual signals are the most common way of transferring perception of motion to immediate vehicles but these indications do not portray correct perception of the motion. Visual indications are reserved for forward vehicle intensions but such indications can not provide surety of avoiding collisions...
The driver assistance system is more and more widely used with the development of automobile industry. The driver assistance system based on pervasive computing integrates the function of computing, communicating and sensing, which can assure the driving safety and prejudging the traffic emergency by sharing the information among vehicles of the same district. The structure and working principle of...
This paper presents an application capable of identifying hazardous spots in roads and dangerous situations caused by human mistakes or reckless driving. Our work relies on a mobile phone since most users already have one and usually take it with them everywhere they go, even when they travel by car. Specifically, we use a Nokia N95 because is provided with GPS (global positioning system) and an accelerometer...
While the Apple iPhone single handedly redefined the term ??smartphone?? during its first two years of release, Google's Android platform for mobile devices has quickly developed into a serious open source alternative. We explored the android operating system (OS) and software development environment and evaluated several of its capabilities by constructing a working application. This application...
How to use the modern information technology to monitors and manages the road transport reasonable, safely and efficiently, effects the whole modern road transportation. Therefore the positioning, tracking, and monitoring of logistics is particularly important. This system is use road transport to combinates the geographic information systems (GIS), satellite positioning systems, car navigation and...
Taxi service has undergone radical revamp in recent years. In particular, significant investments in communication system and GPS devices have improved quality of taxi services through better dispatches. In this paper, we propose to leverage on such infrastructure and build a service choice model that helps individual drivers in deciding whether to serve a specific taxi stand or not. We demonstrate...
The number of traffic accidents with injury to persons is still too high. Hence, it is an important question, how the number of accidents with pedestrians can be reduced. We propose to integrate existing technologies and mobile devices into a cooperative system which is able to detect critical situations and execute preventive counteractive measures such as warn traffic participants. The paper starts...
This paper investigates the fusion of digital maps and dynamical models to accurately predict the future path of a vehicle. This path prediction is generated by a vehicle for sharing with other vehicles through wireless communication channels. This sharing is an enabler of Vehicle-to-Vehicle (V2V) cooperative systems. In particular, this work looks at cooperative safety and comfort systems, which...
This paper presents the development of a real-time system for monitoring the security of commercial vehicles in road networks. Embedded in the security monitoring system is a commercial vehicle tracking and incident detection algorithm which relies on a combination of vehicle telemetry data obtained from Global Positioning Systems and on-board sensors to continuously monitor the route choice and car-following...
The popular methods of route planning, the planar and hierarchical algorithms, are mainly based on the Dijkstra's algorithm. The shortest path in machine computation is always different from the optimal one in a human cognition because travel experience information of human is neglected. In this paper, hierarchical travel experience information of road network is given by statistical analysis on a...
In this paper, we present our approach for collision risk estimation between vehicles. The vehicles are equipped with GPS receivers and communication devices. Our approach consists on using the knowledge given trough communication tool to predict the trajectories of the surrounding vehicles. Based on these trajectories, we identify the configurations of the collisions between vehicles. The risk is...
A fast warning response to an impending crash based on vision/GPS sensing together with V2V communication has been realized to achieve line marking recognition, neighboring vehicles detection, and headway estimation, where a distributed embedded dual-platform DaVinci+XScale-NAV270 was built to improve system effectiveness as well as a data fusion QT-BPNN/ANFIS was applied to dissolving the heterogeneous...
This study explores the use of inter vehicle communication to enhance road safety and traffic management. A vehicle's engine control unit (ECU) manages and controls various sensor signals and determines the output in terms of torque, fuel quantity and actuator positions. The data available in the ECU is however restricted only to that particular vehicle where it was generated. This work presents a...
We consider the recognition of dangerous situations in vehicle traffic. Unscented Kalman filters are used to predict vehicle trajectories within a short prediction horizon [t0, t0+ Deltat]. Based on this prediction, for each vehicle pair the mutual distance is computed for [t0, t0+ Deltat], whereby the distance accounts for the geometric distance, for the prediction uncertainties as well as for the...
This paper presents an innovative teaching action in which a plan of multidisciplinary practicals is carried out by students from different Engineering Schools (School of Industrial Engineering and School of Computer Science of the Polytechnic University of Madrid). The final aim of the practice sessions is the development of a vehicle driving assistance system (ADAS) based on satellite positioning...
Vehicle navigation applications are receiving more and more interests today. However, due to the frequently changed urban map, inaccuracy of GPS data, and the small screen size of the navigator, navigation result is not as good as we expect. In this paper, we propose a new idea called ldquocollaborative navigationrdquo, where experienced drivers are selected to transfer their ldquoexperiencesrdquo...
This paper aims at showing how to classify driving patterns in terms of primitives such as acceleration, deceleration and turning, using neural networks. In particular a multilayer perceptron with back-propagation learning algorithm is used. The considered feature space is reduced to a very restricted couple of sensors: accelerometer and GPS receiver, which characterize many commercial low-cost inertial...
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