The Influence of Telematics Device on Driving Behaviour of Commercial Vehicles Across Long and Short Haul Drivers Atilze Digital Mohd Azman Ismail Atilze Digital Sdn Bhd
Abstract This paper reviews the effect of Advanced Driver Assistance System (ADAS) on driver’s behaviour who drive commercial vehicles for both the long haul group and short haul group. It is known that for the drivers that drives long distance, the exposure to negligent driving behaviour such as sudden braking and tendency of speeding are higher compared to the short distanced drivers due to reduced focus and fatigue ADAS was used as an instrument to measure various data points that makes up the driving behaviour. ADAS helps in improving the driving style by alerting the drivers whenever a dangerous driving behaviour is detected thus helping the driver to correct the behaviour The driver’s behaviour is measured using the Malaysia Driver Score (MDS) which was published by MIROS Atilze Digital Sdn Bhd
Introduction It is commercially known that Advanced Driver Assistance System(ADAS) is proven to significantly reduce the number of road accidents in general. A recent study done by MIROS also establishes that driver behaviour of passenger vehicles fitted with ADAS shows greater improvement than those without the device, in terms of lower number of logged incidents. Road accidents may result from human factors, environment and/or design of roads and vehicles factors. However, human factor often plays the greatest role in causing road accidents Human factor can be measured using the driver score model which will help to determine risk profile of drivers -whether the driver falls in the good score or a bad score band according to their driving behaviour Research objective of this paper is to prove differences in driver score between long haul driver and short haul driver group. Scope of study for this analysis are three logistics companies based in Klang Valley which trips covers both long haul and short haul travels across Peninsular Malaysia. Atilze Digital Sdn Bhd
Malaysian Road Accident Statistics 28 Million Registered Vehicles in 2017 Motorcycles Passenger Cars Commercial Vehicles/Others 13,288,797 1,959,364 12,933,042 An Average of 2 cars + 2 Motorcycles per Household 533,875 RM5.38 bil road 6,740 motor insurance accidents deaths claims paid 2017 2017 2017 Actual Losses Source: PIAM Source: Traffic Investigation and Enforcement Department, Bukit Aman
Road Accidents Risk Factors HUMAN BEHAVIOUR ROAD CONDITIONS VEHICLE Statistics Book 2017 Edition – Jabatan Keselamatan Jalan Raya (JKJR) quoting MIROS statistics
What is ADAS?
Why we need Malaysia Driver Score ? To address the missing gap DRIVER New Car Assessment Program for BEHAVIOUR VEHICLE Southeast Asian Countries (ASEAN & SAFETY NCAP) is a Automobile Safety SAFETY Rating Program Malaysia Driver Score – to ROAD ROAD address risk associated with driver’s behaviour on the road SAFETY SAFETY Star-rating based on the level of safety compliance by bus operators International Road Assessment Programme
What is Malaysia Driver Score, MDS? A score between 1-100 that accesses a driver’s likelihood of getting into a collision Caters to two different segments: Private Passenger Vehicles Commercial Vehicles Encompasses 3 predictive driving behaviour parameters (based on MIROS’s study) normalized against mileage travelled (km) that will help determine the different sets of risk profile of drivers Speeding Forward Collision Warning (FCW) Hard Braking Lane Departure Warning (LDW) Hard Cornering Speeding (SPD)
Methodology For the purpose of this study, independent t-test was used to ascertain the differences in driver score means for the two groups of drivers This research study uses secondary data as a method of analysis. Data set was obtained for one month period for trips and events for each vehicle In total there were 33 drivers who did trips for the whole month of February 2019 from three logistics companies. These drivers were categorized into two groups; long haul and short haul drivers Driver Score Atilze Digital Sdn Bhd
Methodology
Methodology Independent Sample t-test The independent sample t-test compares the means of two independent groups which in this study is long-haul and short-haul driver group in order to determine whether there is statistical evidence that the associated population mean are significantly different. Below are the hypotheses for independent sample t-test used in this study: H 0 = There is no difference in mean driver score between long haul and short haul drivers H 1 = There is difference in mean driver score between long haul and short haul driver Atilze Digital Sdn Bhd
Descriptive statistics for Trip Distance Sample size description Total Vehicles by Category Total Distance Travelled (km) 149522 18 Total Total 15 56412 Long Short Long Short Minimum, Maximum and Average Values for Distance Travelled (km) by Category 16348 Min of Trip Distance 9968 Max of Trip Distance 5837 5034 Average of Trip Distance 3134 18 Long Short Atilze Digital Sdn Bhd
Descriptive statistics for Driver Score Minimum, Maximum and Average Values for Driving Score (%) by Category 99.09 93.51 85.17 79.76 64.8 Min of Total Score Max of Total Score 18.12 Average of Total Score Long Short Driving Score Distribution 0 20 40 60 80 100 120 Atilze Digital Sdn Bhd
Results The event triggered by the two categories of drivers. Lane Departure Warning (LDW) was the highest event triggered with 89% of the all event triggered, followed by Forward Collision Warning (FCW) with 7% and the lowest event triggered was Speed (SPD) which accounted for 5%. Atilze Digital Sdn Bhd
Results The average distance travelled for those two groups of driver was 6240.44 km. There was a noticeable gap in between the minimum distance travelled accounting for only 17.93km while the maximum distance travelled was a whopping 16347.56 km To explain and support the argument for the differences in driving score between long and short haul drivers, independent t-test was used. Independent t-test was analysed using r software and below is the result: Two Sample t-test t = 1.0412, df = 22.861, p-value = 0.3087 From the analysis, we can see that the independent sample t-test analysis showed that p-value is 0.3087 and we accept H null. Hence, we can conclude that there is no difference in driver score mean between long haul and short haul drivers Atilze Digital Sdn Bhd
Discussion & Conclusion There are no noticeable difference of MDS score between long haul and short haul group. ADAS is known to help to reduce the risk of the two haul group in dangerous driving, thus reducing the chance of negligent driving This finding shows that the long-haul driving group, especially, has significant benefit in using ADAS as it lowers their risk factors to the same level as short haul drivers. ADAS is known to help reduce the risk of the two haul group in dangerous driving, thus reducing the chance of negligent driving. The ADAS alarm & notification system has helped to notify the driver when dangerous or negligent driving behaviour is observed, and the drivers can use it to retroactively correct their driving style within the trip. Atilze Digital Sdn Bhd
Future Usage Based Insurance, UBI Source: BNM
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