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Ford Mobility Uses Big Data & Connected vehicles to improve Road Safety

Auto News - Published on Thu, 12 Sep 2019

Image Source: https://www.ford.com
Ford Mobility in Europe has been employing big data analytics combined with detailed on-site observations to discover where and why some stretches of road are more likely to experience road safety incidents than others. The insights come from the latest part of an extensive two-year study into how connected vehicles and advanced analytics can help make travelling in cities easier and safer. They show how relatively simple improvements to roads and junctions could help address safety issues identified at major traffic incident hot-spots across London.

Mr Jon Scott, project lead, City Insights, Ford Mobility, Europe said that “Using data to identify where safety incidents are most likely to occur is one thing proving the concept works is another. We have now taken the innovative predictive road safety concept we introduced last year one step further by engaging with civil engineering experts to better understand the reasons behind safety incidents at these locations and make suggestions on how to address them.”

Mobility experts from Ford’s City Insights (formerly City Data Solutions) team revealed last year how near miss event data, identified by indicators such as sharp braking or hazard light usage, collected from a year-long study of connected vehicles across London could when correlated with historical accident data be used to identify which stretches of road were most likely to experience a road safety incident in the future. These hidden road safety hot-spots may not have been identified by actual accident data until an accident occurs.

Now, to further prove the concept and better understand why certain stretches of road were experiencing a proportionally higher number of safety incidents, Ford has been working with leading UK-based traffic management company Traffic Watch UK to capture and analyse road-user activity from eight of the highest-ranking safety hot-spots. From this they were able to identify driver behaviours and road conditions which could be contributing to an increase in safety incidents at those locations. These included:
Traffic signal jumping by drivers and cyclists
Illegible road signs due to overgrown trees or incorrect orientation
Poor road surface conditions, including sunken service covers
Narrow lanes creating conflict between road users

Source :

Posted By : Mohan Sharma on Thu, 12 Sep 2019
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