Event

Lunch seminar about IGLAD and naturalistic data collection in Japan and India

Date
19 September 2019 11:30-12:30
Place
SAFER, Lindholmspiren 3A, Gothenburg, the Lunch room

Welcome to the SAFER Thursday lunch and networking seminar on September 19 at 11.30-12.30!
 
This week’s Thursday seminar is hosted by John-Fredrik Grönvall, Area manager for Naturalistic Driving data at SAFER.
The seminar will focus on accident data collection in India and Japan, including a general update about IGLAD - Initiative for the global harmonisation of accident data

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IGLAD- Initiative for the global harmonisation of accident data
Speaker: John-Fredrik Grönvall, Area manager for Naturalistic Driving data at SAFER
IGLAD was initiated by European Car Industry, ACEA and different research institutes and announced as a working group at the FIA Mobility Group in October 2010. Supported by FIA and ACEA, the goal of the group is to define a common standardized accident data set as an effective foundation for developing and measuring road safety policy endorsements and interventions. It shall also establish how this data set helps to achieve the goals of the “European Road Safety Action Program” and the “Decade of Action for Road Safety“.
Over the recent years, many Global partners have joined the IGLAD consortium, which now covers different traffic accident databases in Europe, North America, South America, India, Asia and Australia.  Today, the database consists of almost 6000 cases.

Road Accident Sampling System India (RASSI)
Speaker: Murtuza Shabbir painter, Project Manager - RASSI and Crash Investigation Unit JP Research India Pvt. Ltd.
The Road Accident Sampling System - India is a pioneering Indian initiative aimed at collecting in-depth scientific road accident data, through on-site crash investigations, that will enable the government, industry and other road safety stakeholders to plan and execute data-driven road safety strategies for safer Indian roads. Road Accident Sampling System India (RASSI) is the brainchild of its founders, Jeya Padmanaban and Ajit Dandapani. RASSI was conceived to become the first automotive accident database of its kind and is a comprehensive and evolving approach towards in-depth accident data collection in India for India and by India. The data entered in the RASSI database is a result of accident investigations conducted by researchers trained by experienced international experts. This analytical database is based on international databases such as the National Automotive Sampling System - Crashworthiness Data System (NASS-CDS) of the USA, German In-Depth Accident Study (GIDAS) of Germany and Co-Operative Crash Injury Study (CCIS) from the UK and is tailor made to suit Indian conditions. No personal or proprietary information is stored in RASSI. The data is anonymized and, as part of the quality check processes, steps are taken to ensure that no personal data involving any names, addresses of victims, vehicle numbers, etc. are collected in the database. RASSI's Data Privacy and Protection protocol lays down measures to remove all details from the accident data collection system that can lead back to the identification of an accident vehicle or a victim of an accident, and the data thus collected is used for research purposes only. Do attend the SAFER Lunch Seminar to learn more about RASSI and its activities.

Data collection in Japan will also be presented on the seminar.

Info

Contact
Malin Levin
Email
malin.levin [at] chalmers.se
Category
Seminar