Abstract

Intelligent transportation systems are a set of technological solutions used to improve the performance and safety of road transportation. A crucial element for the success of these systems is the exchange of information, not only between vehicles, but also among other components in the road infrastructure through different applications. One of the most important information sources in this kind of systems is sensors. Sensors can be within vehicles or as part of the infrastructure, such as bridges, roads or traffic signs. Sensors can provide information related to weather conditions and traffic situation, which is useful to improve the driving process. To facilitate the exchange of information between the different applications that use sensor data, a common framework of knowledge is needed to allow interoperability. In this paper an ontology-driven architecture to improve the driving environment through a traffic sensor network is proposed. The system performs different tasks automatically to increase driver safety and comfort using the information provided by the sensors.

Highlights

  • Intelligent Transportation Systems (ITS) are applications and technological systems created with the aim of improving safety and efficiency in road transportation

  • This paper presents an ontology-based architecture to improve the driving environment through a traffic sensor network

  • In the ontological layer we have developed a general ontology to describe the different concepts involved in the road traffic scenario, such as vehicles, infrastructure describe the different concepts involved in the road traffic scenario, such as vehicles, infrastructure elements, sensors, driver behaviors; between them setreasoning of reasoning elements, sensors, driver behaviors;and andalso the the relationships relationships between them andand a seta of rules rules applied to the ontology

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Summary

Introduction

Intelligent Transportation Systems (ITS) are applications and technological systems created with the aim of improving safety and efficiency in road transportation. The continuing evolution of ITS has ushered in a new era of interconnected intelligent systems, which certainly has been a quantitative leap in safety of road transportation These systems enable the exchange of information between different applications, and the subsequent analysis allows improving the safety of drivers and promotes travel and comfort in road travel. There are some recent vehicular communication projects, focused in the creation of architectures and standards to allow reliable and extended driving support systems for road safety and transportation efficiency. The system performs different tasks in an automated way to increase the driver safety and comfort using sensor information Such parameters include the air conditioner settings, the traffic lights parameters such as the duration time of the lights and the light intensity, taking into account the traffic flow and the weather conditions.

Related Work
System Architecture
Sensor Network Layer
Data Layer
Ontology Layer
Concepts
Skeleton
Mapping the Sensor Data to Semantic Data
Traffic Light Adjustment Scenario
Adaptive Route Management Scenario
Experiments
Findings
Conclusions
Full Text
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