On the exploitation of Automated Planning for efficient decision making in road traffic accident management

Lukas Chrpa, Mauro Vallati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Automated Planning can be fruitfully exploited as a Decision Support toolkit that, given a specification of available actions (elementary decisions to be taken), an initial situation and goals to be achieved, generates a plan that represents a (partially ordered) sequence of such elementary decisions that once performed the required goals are achieved. Road Traffic Accident Management is a life-critical task that deals with effective planning of emergency response when accidents occur, in order to mitigate negative effects, especially saving human lives that might be in imminent danger. In this paper, we exploit Automated Planning in the Road Traffic Accident Management domain. We specifically focus on providing necessary treatment for victims injured during accidents. This involves coordination of medical teams responsible for providing medical treatment to the victims and fire brigades that are required to release victims trapped in damaged vehicles. An empirical analysis, based in the region ofWest Yorkshire (UK) with a number of real accidents recently occurred there, shows the suitability of the proposed Automated Planning approach to be used in time-critical conditions, and confirms the effectiveness of the generated plans. We also demonstrated its usefulness as a tool for evaluating the impact of additional resources, in order to provide guidance for future investments.

Original languageEnglish
Title of host publication2016 IEEE 55th Conference on Decision and Control, CDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6607-6612
Number of pages6
ISBN (Electronic)9781509018376
DOIs
Publication statusPublished - 27 Dec 2016
Event55th IEEE Conference on Decision and Control - ARIA Resort & Casino, Las Vegas, United States
Duration: 12 Dec 201614 Dec 2016
Conference number: 5
http://cdc2016.ieeecss.org/ (Link to Conference Website)

Conference

Conference55th IEEE Conference on Decision and Control
Abbreviated titleCDC 2016
CountryUnited States
CityLas Vegas
Period12/12/1614/12/16
Internet address

Fingerprint

Highway accidents
Accidents
Exploitation
Decision making
Decision Making
Planning
Traffic
Emergency Response
Empirical Analysis
Fires
Decision Support
Guidance
Specifications
Roads
Traffic accidents
Specification
Resources
Necessary

Cite this

Chrpa, L., & Vallati, M. (2016). On the exploitation of Automated Planning for efficient decision making in road traffic accident management. In 2016 IEEE 55th Conference on Decision and Control, CDC 2016 (pp. 6607-6612). [7799286] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2016.7799286
Chrpa, Lukas ; Vallati, Mauro. / On the exploitation of Automated Planning for efficient decision making in road traffic accident management. 2016 IEEE 55th Conference on Decision and Control, CDC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 6607-6612
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Chrpa, L & Vallati, M 2016, On the exploitation of Automated Planning for efficient decision making in road traffic accident management. in 2016 IEEE 55th Conference on Decision and Control, CDC 2016., 7799286, Institute of Electrical and Electronics Engineers Inc., pp. 6607-6612, 55th IEEE Conference on Decision and Control, Las Vegas, United States, 12/12/16. https://doi.org/10.1109/CDC.2016.7799286

On the exploitation of Automated Planning for efficient decision making in road traffic accident management. / Chrpa, Lukas; Vallati, Mauro.

2016 IEEE 55th Conference on Decision and Control, CDC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 6607-6612 7799286.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Chrpa L, Vallati M. On the exploitation of Automated Planning for efficient decision making in road traffic accident management. In 2016 IEEE 55th Conference on Decision and Control, CDC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 6607-6612. 7799286 https://doi.org/10.1109/CDC.2016.7799286