Please use this identifier to cite or link to this item:
|Title:||Towards a user-centred road safety management method based on road traffic simulation||Authors:||Gregoriades, Andreas||Keywords:||Accidents;Bayesian networks;Financial data processing;Motor transportation;Risk assessment;Risk perception||Category:||Economics and Business||Field:||Social Sciences||Issue Date:||2007||Source:||Proceedings - Winter Simulation Conference 2007, Article number 4419818, Pages 1905-1914 2007 Winter Simulation Conference, WSC; Washington, DC; United States; 9 December 2007 through 12 December 2007; Category number07CH37915; Code 73033||Journal:||Proceedings - Winter Simulation Conference||Conference:||2007 Winter Simulation Conference||Abstract:||One of the most important gaps in road safety management practises is the lack of mature methods for estimating reliability. Road safety performance assessment systems have been developed; however, these provide only historical or retrospective analyses. Effective safety management requires a prospective viewpoint. The main goal of this research is to assist in reducing accident rates in Cyprus by providing ample time to the authorities to react to high risk situations through a safety prediction early warning system. This ultimately will prevent accidents from occurring which subsequently could save lives. Traditional approaches focuses solidly on empirical data concerning road network dynamic properties, despite the fact that the most vulnerable component of the system is the human element. This paper described the integration of agent-based simulation with Bayesian Belief Networks (BBN) for improved quantification of accident probability. The BBN is developed using multidisciplinary influences.||URI:||https://ktisis.cut.ac.cy/handle/10488/14771||ISBN:||1424413060||ISSN:||2-s2.0-49749147870
|DOI:||10.1109/WSC.2007.4419818||Rights:||© 2007 IEEE.||Type:||Conference Papers|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια /Conference papers - poster -presentation|
Show full item record
checked on Feb 23, 2020
checked on Feb 28, 2020
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.