Home Menu Search

Using Convolutional Neural Networks To Improve Road Safety And Save Lives

31 March 2021

Lois Anne Leal and Chaitree Sham Baradkar participated in the innovative iRAP Omdena 8 week Challenge earlier this year to find AI-based solutions to map crash risk and generate iRAP star rating attribute data. They were just 2 of 50 AI and machine learning engineers crowd-sourced from around the world focussed on finding a solution for the accelerated and intelligent collection and coding of road attribute data (AiRAP) to save lives.

Lois is a Science Research Specialist, Machine Learning Engineer and Certified TensorFlow Developer from the Philippines and Chaitree is a Data Scientist at PharmaACE and Machine Learning Engineer at Omdena from Pune, India.

The iRAP Omdena Challenge had 3 main objectives:

  • Source geo-located crash data and produce iRAP Risk Maps of the historical crashes per kilometer and crashes per kilometer traveled for each road user.
  • Source road attribute, traffic flow, and speed data to the iRAP global standard and map the safety performance and Star Rating of more than 100 million km of road worldwide.
  • Produce repeatable road infrastructure key performance indicators that can form the basis of annual performance tracking.

Lois and Chaitree contributed to the second objective by automatically sourcing the crucial component of vehicle count under the traffic or vehicle flow attribute using satellite imageries with the help of Artificial Intelligence.

Read their published blog: “Using Convolutional Neural Networks To Improve Road Safety And Save Lives“.

Related news, events and information

Safer by design: AVO, Chile

12 October 2021 – Designs for the Américo Vespucio Oriente I (AVO I) concession in Chile, one of the largest...

Australian innovation project leads world on automated data capture for RAP assessments

9 September 2021 – Improving road safety performance is a priority for all levels of government in Australia and an iMOVE project...

iRAP and 3M Announce Partnership to Improve Safety for School Children Around the World

9 June 2020 – The International Road Assessment Programme (iRAP) and 3M announced today that 3M has become a Global Programme...

Artificial Intelligence used in iRAP Assessments

20 September 2021 – Main Roads Western Australia and Anditi have revolutionized road safety assessments with an approach which...

The International Road Assessment Programme: 2019 achievements

14 December 2019 – Across 102 countries, the International Road Assessment Programme and its partners have Star Rated over 1...

Star Rating for Schools given a boost

17 February 2020 – Star Rating for Schools (SR4S) has been launched to delegates and stakeholders gathered in Sweden for the Third...

Star Rating for Schools global app

14 November 2017 – Global interest is growing in safer journeys to school with the pilot of the Star Rating for Schools (SR4S)...

New crash tests show modest speed increases can have deadly consequences.

10 March 2021 – Source: IHLS News. Drivers want to save time, and local transportation agencies want to improve traffic flow,...

iRAP announces ninth centre of excellence

7 November 2018 – Chulalongkorn University and iRAP have signed a Centre of Excellence agreement today, which will support the...