Seeking Solutions to Reduce Accident Rates Among Drivers

Background

Lumens Auto is a car leasing company specialising in long term leasing to drivers who are driving for ride hailing platform. Other than long term rental, we also do short term and corporate leasing. As the vehicles are used for ride hailing purposes, the drivers clock an average of more than 100,000 km/yr. Lumens Auto encounter the challenge of drivers encountering multiple accidents due to the long time spent on the road, in some instances, 5 accidents a year by a single driver. Apart from the risk of injury and even potential loss of life for the driver and passengers, this issue incurs revenue loss through expensive car repairs, along with reputational damage to the company. Insurance premium will also be increased due to the high accident rates. We are therefore seeking a cost-effective solution that will help to reduce the accident rate among drivers.

 

Requirements

Lumens Auto currently collects GPS data through as GPS device installed in all our vehicles. The GPS service provider is able to provide us with a lot of data, including distance travelled, harsh braking, etc. With these data, we are able to gain useful insights through data analytics.

We also have stand-alone cameras installed in the cars to collect video recording for use as evidence in the event of accidents. As the video recording are stored on an SD card, the data is automatically overwritten after 3-4 hours.

We have however not yet been able to leverage these data for analytics that provides insights or predictions that will help in reducing accident rates of our drivers.

For this challenge, we are open to testbed other devices such as On-Board Diagnostics (OBD) devices that may be installed in our vehicles to collect relevant data for analytics that will enable reduction of accident rates among our drivers.

We are open to any other solutions apart from those involving gathering data for analytics, eg. behavioural change motivation.

We have a fleet of mainly Japanese and Korean-make hybrid sedans and Multi-Purpose Vehicles (MPVs). The average duration of a driver’s shift is about 9-10 hours/day, with some drivers who can drive up to 14 hours a day. Most of our vehicles are rented out on a long-term basis, but we have a fleet of 10-20 vehicles that we keep idle as accident replacement cars which we can use for a POC project.

There are no geographical restrictions as to where the development is to be carried out, however installation has to be done in Singapore.

Minimum Required Technology Readiness Level (TRL)

Level 7

 

Desired Outcome

We aim for a reduction of 20-30% in accident rates from the current rate.

We intend to have the ability to commercialise the solution for other markets apart from Singapore.

This solution will enable us to lower or maintain existing insurance premium, reduce our accident repair cost and reduce the number of vehicles we keep idle as accident replacement vehicles.

 

Development Timeframe

We are looking at 6 months to 1-year timeline.

 

 

Further Details

Further details of the challenge statement may be found at the Briefings Page, in the form of video recordings of the virtual briefing sessions, Q&A transcripts and presentation slides if available.

 

 

Instructions on Submitting Proposals

Download the proposal submission form in Microsoft Word format at the 'Attachment' section of the Challenge Statement Listing Page and fill in the details of your project proposal. You can then proceed to the proposal submission page by logging in and clicking the 'Submit Proposal' button on the right side of this page, where you will have to fill in the form fields and attach the filled Microsoft Word project submission form before submitting. Do also upload supporting documents/files that may support your proposal.

 

Challenge

TCC Enterprise

Organisation

Lumens Auto Pte Ltd

Themes

Internet of Things
Big Data, Data Analytics

Proposal submissions are open from 22 Jul 2020 to 29 Sep 2020