Abstract
A recent investigation revealed that there is a substantiated need for the development of a micro-simulation system designed for traffic safety assessment. This paper describes the development of a road traffic simulation system, which uses a ‘nanoscopic model’ of driver behaviour and an integrated analysis-evaluation system designed for traffic safety assessment. The primary focus is on estimating the effects of an advanced driver assistance system thereby reducing traffic accidents. The effectiveness and validity of the present system are demonstrated through comparison with measured traffic data. This paper also proposes algorithms embedded in a ‘driver-agent’, for recognising driver’s intentions regarding choosing steering-control modes, lateral control tasks, and the driving mood. This is because the driver assistance systems need to recognise the driver’s intention when choosing steering-control. The results of a simulation study, using the data drawn from actual driving, show that the systems would achieve a high recognition capability. As an example of how driving mood recognition applies to driver assistance systems, an advanced steering system and the adaptability to the driver’s mood, have also been presented.
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References
Archer J, Kosonen I (2000) The potential of micro-simulation modeling in relation to traffic safety assessment. In: ESS conference proceedings, Hamburg
Furukawa Y, Yuhara N et al (2004) Development of prediction evaluation platform of advanced driver safety assist systems using integrated virtual traffic environments. In: Proceedings of international conference on systems, man and cybernetics, IEEE SMC 2004, The Hague, The Netherlands, pp 4041–4046
Hollnagel E (2004) A function-centered approach to joint driver-vehicle system design. In: Proceedings of international conference on systems, man and cybernetics, IEEE SMC 2004, The Hague, The Netherlands, pp 2548–2551
Matthews ML, Bryant DJ, et al (2001) Model for situation awareness and driving-application to analysis and research for intelligent transportation systems. Transp Res Rec 1779:1–529
Rasmussen J (1986) Information processing and human-machine interaction. Elsevier, New York
Tajima J, Yuhara N (2003) Recognition systems of driver’s intention on steering control (in Japanese). Trans SICE 30(11):1061–1070
Vanderhaegen F, Millot P, Chalme S (2004) Towards models of cooperation versus competition to analyze car driver behaviors. In: Proceedings of international conference on systems, man and cybernetics, IEEE SMC 2004, The Hague, The Netherlands, pp 2552–2557
Weir DH, DiMarco RJ (1978) Correlation and evaluation of driver/vehicle directional handling data. SAE Technical Paper Series 780010
Yuhara N (2004) Toward cooperative support for driver. In: Proceedings of 7th international symposium on advanced vehicle control, Arnhem, The Netherlands
Yuhara N, Tajima J (2001) Advanced steering system adaptable to lateral control task and driver’s intention. Vehicle Syst Dyn 36(2–3):119–158
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Yuhara, N., Tajima, J. Multi-driver agent-based traffic simulation systems for evaluating the effects of advanced driver assistance systems on road traffic accidents. Cogn Tech Work 8, 283–300 (2006). https://doi.org/10.1007/s10111-006-0045-9
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DOI: https://doi.org/10.1007/s10111-006-0045-9