Skip to main content

Indian state launches new road accident data management system

The Indian state of Himachal Pradesh has officially launched its first road accident data management system (RADMS) for the management, analysis and evaluation of road traffic accident data. Designed and developed by TRL, the UK’s Transport Research Laboratory, the new system streamlines and centralises the management of accident data, making it easier to identify and introduce measures to reduce the volume and severity of accidents. Hosted at the Himachal Pradesh State Data Centre in Shimla, the RADMS,
July 28, 2015 Read time: 3 mins
The Indian state of Himachal Pradesh has officially launched its first road accident data management system (RADMS) for the management, analysis and evaluation of road traffic accident data. Designed and developed by 491 TRL, the UK’s Transport Research Laboratory, the new system streamlines and centralises the management of accident data, making it easier to identify and introduce measures to reduce the volume and severity of accidents.

Hosted at the Himachal Pradesh State Data Centre in Shimla, the RADMS, a customised version of TRL’s iMAAP software, enables police officers to collect and record data from road traffic accidents in real-time using mobile or tablet devices. Data is immediately fed back into the system, which is populated with an extensive, intelligent library of engineering countermeasures linked with accident causes, to help road safety engineers on the ground implement solutions quickly.

The system has been designed to integrate with existing Government IT systems, including the Crime and Criminal Tracking Network & Systems (CCTNS), VAHAN, SARATHI.  The mobile component of the solution is developed based on the latest open standards in Hindi, providing users with access to RADMS from any mobile platform, with or without internet connection.

Speaking after the RADMS launch, Subu Kamal, TRL’s Strategic Applications director, commented, “At TRL, we have made it our mission to help reduce the number of fatalities and serious injuries on our roads. It is why we developed our iMAAP suite of software solutions and it is why local authorities and states like Himachal Pradesh continue to turn to us to help them achieve their road safety goals.”

“India accounts for approximately 15 per cent of global road accident fatalities, so it’s vital that steps are taken to try and improve road safety across the country. The new data management system will help road safety stakeholders to drive a significant reduction in road casualties and ensure that funds are being spent on initiatives that will make a difference to road safety,” Kamal concluded.

B.S. Chauhan, project director and chief engineer of Himachal Pradesh Road and other Infrastructure and Development Corporation added: “The use of a scientific road safety management solution like iMAAP in a mountainous state like Himachal Pradesh will certainly help improve road safety problems by enabling the easy identification and re-design of any accident prone road sections and also appropriate budgetary allocations. The system will also go a long way in helping the police department to effectively monitor and regulate their activities, as well as equip other stakeholders, like the Health Department, for any future planning. The TRL team, with their energy, focus and expertise, have been very helpful in setting up this system in the State of Himachal, particularly given our peculiar terrain and local issues.”

The launch of the new RADMS system is part of an ongoing project, jointly led by TRL and Indian software company Experion which began in April 2014. To ensure sustainability, the project also plans for long-term, ongoing, road safety capacity building and institutional strengthening to police, highway engineers and other stakeholders to ensure the system is used effectively.

For more information on companies in this article

Related Content

  • Collision data collection system set to rollout across UK
    May 12, 2015
    A new system which collects data on road traffic collisions from police forces is set to be implemented across England and Wales. Collision Recording And Sharing (CRASH) has been built for the Home Office and Department for Transport (DfT) by systems integrator IPL. The platform will help pinpoint accident ‘black-spots’ to enable the DfT, Highways England and local authorities to work together to make safety improvements to the road network. All English and Welsh police forces are expected to be feeding
  • Utah DoT and Panasonic get connected
    August 30, 2019
    Utah is making smart roadways a priority and has entered a partnership with Panasonic to move things forward. Adam Hill asks Utah DoT to outline where the state is heading Utah Department of Transportation (UDoT) has form when it comes to connectivity. It built the first operational connected vehicle corridor in the US – and has now joined up with Panasonic to extend its operation. “When we work with technology providers, we are working together to get that win-win,” says Carlos Braceras, UDoT executi
  • Expert calls for high-tech traffic control
    November 29, 2012
    A leading Chinese transportation expert has called for China to develop smart traffic technologies that are more customer-oriented, while boosting greener, safer and more efficient modern transportation in the country. "China's ITS applications should shift their focus to provide more solutions for public transportation in the next decade, and the industry should get a new stimulus by responding to the needs of the market," said Wang Xiaojing, chief engineer at the Research Institute of Highway under the Mi
  • Iteris to show state-of-the-art sensor and virtualised workzone management in Phoenix
    March 22, 2024
    At ITS America 2024, Iteris will host demonstrations showcasing how its software, sensor and consulting solutions help agencies bring revolutionary technologies to scale for improved mobility and safety. Visitors to its booth will be able to see how its AI-powered ClearMobility Platform offers a complete portfolio of end-to-end solutions to monitor, visualise and optimise mobility infrastructure around the world. The company applies AI tools across multiple levels of its ecosystem, including neural networks that enable machine learning based on real-time and historical data to support predictive analysis within the ClearMobility Platform.