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Investigating the Effect of COVID-19 on Driver Behavior and Road Safety: A Naturalistic Driving Study in Malaysia.
Al-Hussein, Ward Ahmed; Li, Wenshuang; Por, Lip Yee; Ku, Chin Soon; Alredany, Wajdi Hamza Dawod; Leesri, Thanakamon; MohamadJawad, Huda Hussein.
  • Al-Hussein WA; Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia.
  • Li W; Faculty of Business and Economics, University of Malaya, Kuala Lumpur 50603, Malaysia.
  • Por LY; Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia.
  • Ku CS; Department of Computer Science, Universiti Tunku Abdul Rahman, Kampar 31900, Malaysia.
  • Alredany WHD; Department of Mathematics, Dhofar University, Salalah 211, Oman.
  • Leesri T; School of Community Health Nursing, Institute of Nursing, Suranaree University of Technology, 111 University Ave., Muang, Nakhon Ratchasima 30000, Thailand.
  • MohamadJawad HH; College of Information Technology, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang 43000, Malaysia.
Int J Environ Res Public Health ; 19(18)2022 Sep 07.
Article in English | MEDLINE | ID: covidwho-2010080
ABSTRACT
The spread of the novel coronavirus COVID-19 resulted in unprecedented worldwide countermeasures such as lockdowns and suspensions of all retail, recreational, and religious activities for the majority of 2020. Nonetheless, no adequate scientific data have been provided thus far about the impact of COVID-19 on driving behavior and road safety, especially in Malaysia. This study examined the effect of COVID-19 on driving behavior using naturalistic driving data. This was accomplished by comparing the driving behaviors of the same drivers in three periods before COVID-19 lockdown, during COVID-19 lockdown, and after COVID-19 lockdown. Thirty people were previously recruited in 2019 to drive an instrumental vehicle on a 25 km route while recording their driving data such as speed, acceleration, deceleration, distance to vehicle ahead, and steering. The data acquisition system incorporated various sensors such as an OBDII reader, a lidar, two ultrasonic sensors, an IMU, and a GPS. The same individuals were contacted again in 2020 to drive the same vehicle on the same route in order to capture their driving behavior during the COVID-19 lockdown. Participants were approached once again in 2022 to repeat the procedure in order to capture their driving behavior after the COVID-19 lockdown. Such valuable and trustworthy data enable the assessment of changes in driving behavior throughout the three time periods. Results showed that drivers committed more violations during the COVID-19 lockdown, with young drivers in particular being most affected by the traffic restrictions, driving significantly faster and performing more aggressive steering behaviors during the COVID-19 lockdown than any other time. Furthermore, the locations where the most speeding offenses were committed are highlighted in order to provide lawmakers with guidance on how to improve traffic safety in those areas, in addition to various recommendations on how to manage traffic during future lockdowns.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Automobile Driving / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Asia Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph191811224

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Automobile Driving / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Asia Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph191811224