ResearchSpace

Intertwining road user behaviour and traffic psychology with ITS in South Africa

Show simple item record

dc.contributor.author Venter, Karien
dc.date.accessioned 2010-09-30T14:22:29Z
dc.date.available 2010-09-30T14:22:29Z
dc.date.issued 2010-05
dc.identifier.citation Venter, K. 2010. Intertwining road user behaviour and traffic psychology with ITS in South Africa. 16th IRF (International Road Federation) World Meeting, Lisbon Congress Centre, Portugal, 25-28 May 2010, pp 8 en
dc.identifier.uri http://hdl.handle.net/10204/4435
dc.description 16th IRF (International Road Federation) World Meeting, Lisbon Congress Centre, Portugal, 25-28 May 2010 en
dc.description.abstract Road safety is a core problem that the South African government battle with year-on year. One of the areas where South Africa has sadly been lacking behind is within the field of road and traffic psychology. This is despite the fact that presumably 90% of road and traffic crashes are considered to be due to human error. Approaches to address road user behaviour on South African roads are seemingly not tailored enough to address the problem on our roads. One of the reasons for this might be the serious lack of reliable scientifically sound data. Without adequate transport and traffic related data it becomes difficult to develop countermeasures or to influence policy and the effective formulation of strategies to curb the road safety problem in South Africa. The CSIR NyendaWeb aims to address this problem through the creation of an open platform, where data from a sensor web can be received, analysed and made accessible to researchers, practitioners and policy-makers. Interventions and strategies to reduce crashes in South Africa mainly revolve around engineering and enforcement with little or no real insight into the behaviour that these strategies aim to address. The field of Intelligent Transportation Systems is still fairly unexplored within either the ergonomics or traffic psychology domain in South Africa. The CSIR NyendaWeb platform for the first time provides an opportunity to collect road user behaviour data through the sensor web, which will make it possible to collate, analyse and interpret road user behaviour on a higher level. Most approaches in accident reduction revolve around (mostly unavailable) crash data and specific locations. By utilising the sensor web to collect different types of information from everyday road usage situations it becomes possible to better understand road user behaviour within the South African context. In order to interpret and understand what the specific road user behaviour is and how it fits within the South Africa context, one should first be able to classify that information. Currently no such a behavioural guideline or index for road users exists in South Africa. Only after road user behaviour has been classified and indexed can methods be developed to fully measure road user behaviour. This tool could be used to pinpoint specific and hazardous locations, as is currently being done, but will also give insight into general and “not at risk” road user behaviour. en
dc.language.iso en en
dc.subject Road safety en
dc.subject Road psychology en
dc.subject Traffic psychology en
dc.title Intertwining road user behaviour and traffic psychology with ITS in South Africa en
dc.type Conference Presentation en
dc.identifier.apacitation Venter, K. (2010). Intertwining road user behaviour and traffic psychology with ITS in South Africa. http://hdl.handle.net/10204/4435 en_ZA
dc.identifier.chicagocitation Venter, Karien. "Intertwining road user behaviour and traffic psychology with ITS in South Africa." (2010): http://hdl.handle.net/10204/4435 en_ZA
dc.identifier.vancouvercitation Venter K, Intertwining road user behaviour and traffic psychology with ITS in South Africa; 2010. http://hdl.handle.net/10204/4435 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Venter, Karien AB - Road safety is a core problem that the South African government battle with year-on year. One of the areas where South Africa has sadly been lacking behind is within the field of road and traffic psychology. This is despite the fact that presumably 90% of road and traffic crashes are considered to be due to human error. Approaches to address road user behaviour on South African roads are seemingly not tailored enough to address the problem on our roads. One of the reasons for this might be the serious lack of reliable scientifically sound data. Without adequate transport and traffic related data it becomes difficult to develop countermeasures or to influence policy and the effective formulation of strategies to curb the road safety problem in South Africa. The CSIR NyendaWeb aims to address this problem through the creation of an open platform, where data from a sensor web can be received, analysed and made accessible to researchers, practitioners and policy-makers. Interventions and strategies to reduce crashes in South Africa mainly revolve around engineering and enforcement with little or no real insight into the behaviour that these strategies aim to address. The field of Intelligent Transportation Systems is still fairly unexplored within either the ergonomics or traffic psychology domain in South Africa. The CSIR NyendaWeb platform for the first time provides an opportunity to collect road user behaviour data through the sensor web, which will make it possible to collate, analyse and interpret road user behaviour on a higher level. Most approaches in accident reduction revolve around (mostly unavailable) crash data and specific locations. By utilising the sensor web to collect different types of information from everyday road usage situations it becomes possible to better understand road user behaviour within the South African context. In order to interpret and understand what the specific road user behaviour is and how it fits within the South Africa context, one should first be able to classify that information. Currently no such a behavioural guideline or index for road users exists in South Africa. Only after road user behaviour has been classified and indexed can methods be developed to fully measure road user behaviour. This tool could be used to pinpoint specific and hazardous locations, as is currently being done, but will also give insight into general and “not at risk” road user behaviour. DA - 2010-05 DB - ResearchSpace DP - CSIR KW - Road safety KW - Road psychology KW - Traffic psychology LK - https://researchspace.csir.co.za PY - 2010 T1 - Intertwining road user behaviour and traffic psychology with ITS in South Africa TI - Intertwining road user behaviour and traffic psychology with ITS in South Africa UR - http://hdl.handle.net/10204/4435 ER - en_ZA


Files in this item

This item appears in the following Collection(s)

Show simple item record