ISI Presentation Azman 190813 v1...RU WKH SXUSRVH RI WKLV VWXG\ LQGHSHQGHQW W WHVW ZDV XVHG WR...
Transcript of ISI Presentation Azman 190813 v1...RU WKH SXUSRVH RI WKLV VWXG\ LQGHSHQGHQW W WHVW ZDV XVHG WR...
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.
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Actual Losses
533,875road
accidents2017
RM5.38 bilmotor insurance
claims paid2017
6,740deaths
2017
28 Million Registered Vehicles in 2017
Passenger Cars
13,288,797 1,959,364 12,933,042
Commercial Vehicles/Others Motorcycles
An Average of 2 cars + 2 Motorcycles per Household
Source: Traffic Investigation and Enforcement Department, Bukit Aman Source: PIAM
Malaysian Road Accident Statistics
Road Accidents Risk Factors
VEHICLE ROAD CONDITIONS
HUMAN BEHAVIOUR
Statistics Book 2017 Edition – Jabatan Keselamatan Jalan Raya (JKJR) quoting MIROS statistics
What is ADAS?
DRIVER BEHAVIOUR
& SAFETY
ROAD SAFETYROAD SAFETY
Why we need Malaysia Driver Score?
VEHICLE SAFETY
To address the missing
gap New Car Assessment Program for Southeast Asian Countries (ASEAN
NCAP) is a Automobile Safety Rating Program
Star-rating based on the level of safety compliance by bus
operators
International Road Assessment Programme
Malaysia Driver Score – to address risk associated with
driver’s behaviour on the road
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
Speeding Forward Collision Warning (FCW)
Hard Braking Lane Departure Warning (LDW)
Hard Cornering Speeding (SPD)
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
What is Malaysia Driver Score, MDS?
For the purpose of this study, independent t-test was used to ascertain the differences in driver score means for the two groups of driversThis research study uses secondary data as a method of analysis. Data set was obtained for one month period for trips and events for each vehicleIn 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 groupswhich in this study is long-haul and short-haul driver group in order to determinewhether there is statistical evidence that the associated population mean aresignificantly different. Below are the hypotheses for independent sample t-testused in this study:
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Methodology
H0 = There is no difference in mean driver score between long haul and short haul drivers
H1 = There is difference in mean driver score between long haul and short haul driver
Descriptive statistics for Trip Distance
149522
56412
Long Short
Total Distance Travelled (km)
Total
15
18
Long Short
Total Vehicles by Category
Total
5837
18
16348
5034
9968
3134
Long Short
Minimum, Maximum and Average Values for Distance Travelled (km) by Category
Min of Trip Distance
Max of Trip Distance
Average of Trip Distance
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Sample size description
64.8
18.12
99.09 93.5185.17 79.76
Long Short
Minimum, Maximum and Average Values for Driving Score (%) by Category
Min of Total Score
Max of Total Score
Average of Total Score
0 20 40 60 80 100 120
Driving Score Distribution
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Descriptive statistics for Driver Score
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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%.
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
Results
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.
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Discussion & Conclusion
Source: BNM
Future Usage Based Insurance, UBI
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References