RECOGNITION OF DRIVING STYLE, ROADWAY TYPE, AND TRAFFIC BASED ON INFORMATION AVAILABLE IN ELECTRONIC CONTROL UNIT OF VEHICLES IN REAL TRAFFIC CONDITIONS

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BASHIRI M.R.; RAJAEI SALMASI F.; NADJAR ARAABI B.

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Journal: THE JOURNAL OF ENGINE RESEARCH Year:2010 | Volume:5 | Issue:17 Page(s): 52-59

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Information Journal Paper

Title

RECOGNITION OF DRIVING STYLE, ROADWAY TYPE, AND TRAFFIC BASED ON INFORMATION AVAILABLE IN ELECTRONIC CONTROL UNIT OF VEHICLES IN REAL TRAFFIC CONDITIONS

Author(s)

BASHIRI M.R. | RAJAEI SALMASI F. | NADJAR ARAABI B. | Issue Writer Certificate

Keywords

DRIVING STYLEQ3

ROADWAY TYPEQ3

TRAFFIC CONGESTIONQ3

NEURAL NETWORKQ2

DRIVING PATTERNQ3

Abstract

This article proposes a new method on recognition of DRIVING STYLE, ROADWAY TYPE, and level of congestion based on some of information available in electronic control unit (ECU) of vehicles. Vehicle speed, engine speed, indicatory torque, acceleration pedal position, brake activity, and clutch pedal are used to achieve this goal. DRIVING STYLE is the driver's behavior that can be variable according to driver's personal characteristics and level of congestion in the road. This paper is part of the research on «Driving Pattern Recognition and Traffic Identification in Tehran for Control of Hybrid Vehicles» that is supported by Irankhodro Powertrain Corporation (IPCO). In the proposed method, NEURAL NETWORKs are used to classify the DRIVING STYLE into three categories: calm, normal, and aggressive; based on the features extracted from ECU information.Data collected in this research in calm, normal, and aggressive classes in collaboration with IPCO in the real traffic conditions.Results show DRIVING STYLE can be recognized with NEURAL NETWORK with high performance, although ROADWAY TYPE and level of congestion didn't recognized well. Correct classification rate that reached are 70% for ROADWAY TYPE and level of congestion, and above 90% for DRIVING STYLE. The results attained in this research have many profits and can be used for control of vehicles (especially hybrid electric vehicles) in future works.

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APA: Copy

BASHIRI, M.R., RAJAEI SALMASI, F., & NADJAR ARAABI, B.. (2010). RECOGNITION OF DRIVING STYLE, ROADWAY TYPE, AND TRAFFIC BASED ON INFORMATION AVAILABLE IN ELECTRONIC CONTROL UNIT OF VEHICLES IN REAL TRAFFIC CONDITIONS. THE JOURNAL OF ENGINE RESEARCH, 5(17), 52-59. SID. https://sid.ir/paper/135611/en

Vancouver: Copy

BASHIRI M.R., RAJAEI SALMASI F., NADJAR ARAABI B.. RECOGNITION OF DRIVING STYLE, ROADWAY TYPE, AND TRAFFIC BASED ON INFORMATION AVAILABLE IN ELECTRONIC CONTROL UNIT OF VEHICLES IN REAL TRAFFIC CONDITIONS. THE JOURNAL OF ENGINE RESEARCH[Internet]. 2010;5(17):52-59. Available from: https://sid.ir/paper/135611/en

IEEE: Copy

M.R. BASHIRI, F. RAJAEI SALMASI, and B. NADJAR ARAABI, “RECOGNITION OF DRIVING STYLE, ROADWAY TYPE, AND TRAFFIC BASED ON INFORMATION AVAILABLE IN ELECTRONIC CONTROL UNIT OF VEHICLES IN REAL TRAFFIC CONDITIONS,” THE JOURNAL OF ENGINE RESEARCH, vol. 5, no. 17, pp. 52–59, 2010, [Online]. Available: https://sid.ir/paper/135611/en

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