Iranian Journal of Mechanical Engineering Transactions of ISME

Iranian Journal of Mechanical Engineering Transactions of ISME

Identification of the behavior of the drivers that have used amphetamines in car following procedure applying the adaptive neuron fuzzy method

Authors
Abstract
In recent years, consumption of stimulant substances compared to alcohol and drugs has been very popular, but still vast investigation on the impact of the stimulant substance abuse on the driving behavior has not been conducted.This article provides a method to identify the behavior of drivers that have used amphetamines. In this method, 16 healthy professional Scania bus drivers and as many as 6 drivers addicted to amphetamines in the Nasir Scania bus driving simulator have been examined and performed practical tests. The scenario chosen for the driving in the simulator was of the “car following” type. In order to analyze the behavior of healthy drivers and the ones addicted to amphetamines, the delay time for each driver and some other safety factors such as the time to collision, THDW, unsafe density, and also the longitudinal distances between the leading and the following car were collected using variables taken from the driving simulator. Then an adaptive neuro fuzzy inference system (ANFIS) has been designed to separate information for healthy people and addicted to amphetamines. Finally, the driving behavior evaluated using GHR model and the then compared to the performance of the designed ANFIS system. The result shows that the designed ANFIS system has a performance much better than GHR model and can distinguish between the amphetamines addicted drivers and healthy one and identify them with the accuracy of 97%.
Keywords

[1]   پایان­نامه کارشناسی ارشد، تیموری، سمیرا، "تحلیل و آزمایش اثرات مصرف مواد محرک آمفتامین بر عملکرد راننده در شبیه­ساز رانندگی با استفاده از منطق فازی"، دانشگاه خواجه نصیرالدین طوسی، دانشکده مهندسی برق، (1391).
 
[2]   پایان­نامه کارشناسی ارشد، دهقانزاده سورکی، احمد، "تحلیل تاثیر مواد محرک آمفتامین بر رفتار رانندگی با استفاده از ترکیب اطلاعات حسگرهای پایش راننده و خودرو به کمک شبیه­ساز رانندگی اتوبوس"، دانشگاه خواجه نصیرالدین طوسی، دانشکده مهندسی برق، (1391).
 
[3]   Wang, J., Liu, R.H., and Montgomery, F., “Car-following Model for Motorway Traffic”, Transportation Research Record, Vol. 1934, pp. 33-42, (2005).   
 
[4]   رساله دکتری، خدایاری، علیرضا، "طراحی سیستم کنترل هوشمند تعقیب خودرو مبتنی بر تأخیر لحظه­ای رفتار راننده و خودرو"، دانشگاه خواجه نصیرالدین طوسی، دانشکده مهندسی مکانیک، تابستان (1391).
 
[5]  Ranney, T.A., “Psychological Factors that Influence Car-following and Car-following Model Development”, Transp. Res., Part F: Traffic Psychol. Behav., Vol. 2, No. 4, pp. 213–219, (1999).
 
[6]  Brookhuis, K.A., Waard, D., and Samyn, N., “Effects of MDMA (ecstasy) and Multiple Drugs use on (Simulated) Driving Performance and Traffic Safety”, Journal of Psychopharmacology, Vol. 173, No. 3, pp. 440-445, (2004).
 
[7]  Dastrup, E., Lees, M.N., Bechara, A., Dawson, J.D., and Rizzo, M., “Risky Car Following in Abstinent Users of MDMA”, Accident Analysis and Prevention, Vol. 42, pp. 867–873, (2010).
 
[8]   Stough, C., Downey, L.A., King, R., Papafotiou, K., Swann, P., and Ogden, E., “The Acute Effects of 3, 4 Methylen Edioxy Methamphetamine and Methamphetamine on Driving: A Simulator Study”, Accident Analysis and Prevention, Vol. 45, pp. 493–497, (2012).
 
[9]   May, A., “Traffic Flow Fundamentals”, Prentice-Hall, Inc, New Jersey, (1990).  
 
[10]  Hayward, J.C., “Near-Miss Determination through use of a Scale of Danger”, 51st Annual Meeting of the Highway Research Board, Washington District of Columbia, United States,  No. 384, (1972). 
 
[11] Barcelo, J., Manter, L., Peranav, J., and Torday, A., “Safety Indictors for Micro Simulation Based Assessments”, In 82nd Annual Meeting of the Transportation Research Board, Washington, D.C., USA, (2003).
 
[12]           Ma, X., and Andreasson, I., “Driver Reaction Time Estimation for Real Car-following Data and Application in GM-Type Model Evaluation”, The 85th Transportation Research Board Annual Meeting, Washington D.C., USA, (2006).
 
[13]           Ranjitkar, P., Nakatsuji, T., and Kawamura, K., “Experimental Analysis of Car-following Dynamics and Traffic Stability”, Transportation Research Record, Vol. 1934, pp. 22-32, (2005).
 
[14]           Sarutipand, P., Sano, K., Nakatsuji, T., and Minh, C.C., “Nonlinear Car-following Models Incorporation Second Leading Car and Excess Critical Speed”, Journal of the Eastern Asia Society for Transportation Studies, Vol. 5, pp. 1101-1108, October, (2003).
 
[15] Khodayari, A., Ghaffari, A., Kazemi, R., and Braunstingl, R., “A Modified Car-following Model Based on a Neural Network Model of the Human Driver Effects”, IEEE Transactions on Systems, Man and Cybernetics, Part A Systems and Humans, Vol. 42, No. 6, pp. 1440-1449, (2012).
 
[16]           http://www.drivingSimulator.ir
 
[17] Ossen, S., and Hoogendoorn, S.P., “Car-following Behavior Analysis from Microscopic Trajectory Data”, Transportation Research Record, No. 1934, pp. 13-21, (2005).
 
[18] Gazis, D.C., Herman, R., and Rothery, R.W., “Nonlinear Follow-the-leader Models of Traffic Flow”, Operations Research, Vol. 9, No. 4, pp. 545-567, (1961).
 
Pytel, A., and Kiusalaas, J., "Engineering Mechanics: Dynamics", Second Edition, Brooks/ Cole Publishing Company, (1999).
Volume 17, Issue 3 - Serial Number 40
System Dyanamics and Solid Mechanics
Autumn 2015
Pages 49-67

  • Receive Date 22 December 2015