Proactive safety - Cooperative collision warning for vehicles

Chung-Ming Huang, Shih Yang Lin, Alexey Vinel, Magnus Jonsson

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Telematics is an interdisciplinary technology that combines telecommunications, vehicular technologies, road transportation, road safety, electrical engineering, and computer science to provide applications and services for the purpose of comfort and safety enhancement. From the timing point of view, the driving safety can be classified into two domains: (1) active safety and (2) passive safety. Passive safety systems are used to reduce damage and protect passengers and drivers when an accident occurs. Common passive safety systems include airbags, seatbelts, whiplash injury lessening systems, and energy absorbing steering column. Active safety systems are used to prevent accidents before they occur. An example of active safety system is the collision warning/avoidance system. It basically collects/detects neighboring vehicles’ motion states to compute potential collision between vehicles. Based on future technology, cooperative active safety systems emerge. Vehicles can exchange their information between each other through wireless communication [1], for example, over a vehicular ad hoc network (VANET), for cooperative purposes such as collision warning/avoidance. In a project named smart intersection, a collision avoidance system based on the concept of active safety was developed by Ford and the US government [2]. The system collects a vehicle’s information like Global Positioning System (GPS) coordinates, velocity, and heading and delivers it through wireless communication to other vehicles in order to prevent accidents and congestion before vehicles arrive to an intersection. To understand the details of cooperative collision warning (CCW), this chapter exposes main factors that affect the accuracy of CCW, challenges of CCW, communication techniques for cooperative safety, and collision prediction techniques. CCW systems are also introduced in detail. Moreover, we present some existing safety-related techniques and systems that are developed by automobile manufacturers.

Original languageEnglish
Title of host publicationClean Mobility and Intelligent Transport Systems
PublisherInstitution of Engineering and Technology
Pages117-134
Number of pages18
ISBN (Electronic)9781849198967
ISBN (Print)9781849198950
DOIs
Publication statusPublished - 2015 Jan 1

Fingerprint

Active safety systems
Accidents
Security systems
Communication
Vehicular ad hoc networks
Alarm systems
Electrical engineering
Collision avoidance
Computer science
Automobiles
Telecommunication
Global positioning system

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Huang, C-M., Lin, S. Y., Vinel, A., & Jonsson, M. (2015). Proactive safety - Cooperative collision warning for vehicles. In Clean Mobility and Intelligent Transport Systems (pp. 117-134). Institution of Engineering and Technology. https://doi.org/10.1049/PBTR001E_ch6
Huang, Chung-Ming ; Lin, Shih Yang ; Vinel, Alexey ; Jonsson, Magnus. / Proactive safety - Cooperative collision warning for vehicles. Clean Mobility and Intelligent Transport Systems. Institution of Engineering and Technology, 2015. pp. 117-134
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Huang, C-M, Lin, SY, Vinel, A & Jonsson, M 2015, Proactive safety - Cooperative collision warning for vehicles. in Clean Mobility and Intelligent Transport Systems. Institution of Engineering and Technology, pp. 117-134. https://doi.org/10.1049/PBTR001E_ch6

Proactive safety - Cooperative collision warning for vehicles. / Huang, Chung-Ming; Lin, Shih Yang; Vinel, Alexey; Jonsson, Magnus.

Clean Mobility and Intelligent Transport Systems. Institution of Engineering and Technology, 2015. p. 117-134.

Research output: Chapter in Book/Report/Conference proceedingChapter

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Huang C-M, Lin SY, Vinel A, Jonsson M. Proactive safety - Cooperative collision warning for vehicles. In Clean Mobility and Intelligent Transport Systems. Institution of Engineering and Technology. 2015. p. 117-134 https://doi.org/10.1049/PBTR001E_ch6