Driving Behavior and Traffic Safety: An Acceleration-Based Safety Evaluation Procedure for Smartphones

作者: Rosolino Vaiana , Teresa Iuele , Vittorio Astarita , Maria Vittoria Caruso , Antonio Tassitani

DOI: 10.5539/MAS.V8N1P88

关键词: Computer scienceAutomotive engineeringUsabilityGlobal Positioning SystemRoad traffic safetyMobile deviceAggressive drivingEfficient energy useAccelerometerReal-time data

摘要: Traffic safety and energy efficiency of vehicles are strictly related to driver’s behavior. The scientific literature has investigated on some specific dynamic parameters that, among the others, can be used as a measure unsafe or aggressive driving style such longitudinal lateral acceleration vehicle. Moreover, use modern mobile devices (smartphones tablets), their internal sensors (GPS receivers, three-axes accelerometers), allows road users receive real time information feedback that useful increase awareness drivers promote safety. This paper focuses development prototype application evaluate grade keeping by measuring accelerations (longitudinal lateral) warning for when it convenient correct style. aggressiveness is evaluated plotting vehicle’s g-g diagram specially studied designed, where horizontal displayed inside areas “Good Driving Style”. Several experimental tests were carried out with different cars in order estimate system accuracy usability application. work part wider research project M2M, Mobile Mobility: Information communication technology systems traffic (PON National Operational Program Research Competitiveness 2007-2013) which based sensor computing giving real-time reduce risks make transportation more safe comfortable.

参考文章(14)
Johan Casselgren, Jacob Svendenius, Fredrik Bruzelius, Matthijs Klomp, Johan Hultén, Sara Woxneryd, Fredrik Håbring, Mats Sjödahl, Bengt Wällvaara, Mats Andersson, Mattias Hjort, Gunnar Olsson, Magnus Gäfvert, Road Friction Estimation IVSS. ,(2007)
Basil Psarianos, Theodor Mailaender, Ruediger Lamm, Highway Design and Traffic Safety Engineering Handbook ,(1999)
Sheila G Klauer, Thomas A Dingus, Vicki L Neale, Jeremy D Sudweeks, David J Ramsey, None, Comparing Real-World Behaviors of Drivers with High Versus Low Rates of Crashes and Near Crashes ,(2009)
Yilu Zhang, Y. Owechko, Jing Zhang, Driver cognitive workload estimation: a data-driven perspective international conference on intelligent transportation systems. pp. 642- 647 ,(2004) , 10.1109/ITSC.2004.1398976
Adnan K. Shaout, Adam E. Bodenmiller, A Mobile Application for Monitoring Inefficient and Unsafe Driving Behaviour Naif Arab University for Security Sciences. ,(2011)
Derick A. Johnson, Mohan M. Trivedi, Driving style recognition using a smartphone as a sensor platform international conference on intelligent transportation systems. pp. 1609- 1615 ,(2011) , 10.1109/ITSC.2011.6083078
Guido Danieli, Demetrio Carmine Festa, Vincenzo Pasquale Giofrè, Teresa Iuele, Rosolino Vaiana, Vittorio Astarita, Maria Vittoria Caruso, A Mobile Application for Road Surface Quality Control: UNIquALroad Procedia - Social and Behavioral Sciences. ,vol. 54, pp. 1135- 1144 ,(2012) , 10.1016/J.SBSPRO.2012.09.828
Mark W Burris, Elisabeth R Rose, Paul J Carlson, Kit Black, Comparison of Radius-Estimating Techniques for Horizontal Curves Transportation Research Record. ,vol. 1918, pp. 76- 83 ,(2005) , 10.3141/1918-10
R. Vaiana, G.F. Capiluppi, V. Gallelli, T. Iuele, V. Minani, Pavement Surface Performances Evolution: An Experimental Application Procedia - Social and Behavioral Sciences. ,vol. 53, pp. 1149- 1160 ,(2012) , 10.1016/J.SBSPRO.2012.09.964
Daniel Baldauf, Esther Burgard, Marc Wittmann, Time perception as a workload measure in simulated car driving Applied Ergonomics. ,vol. 40, pp. 929- 935 ,(2009) , 10.1016/J.APERGO.2009.01.004