A collaboration with a UK Infrastructure Provider and KPMG
Ensuring high levels of customer satisfaction on the UK road network is a key strategic challenge for this client. Using journey time as a proxy for customer satisfaction, the Data Spark team were challenged to characterise different incident types and the effects these may have upon journey times.
How did we help:
In this pilot study, the team focussed on 12 moths of data for one stretch of a UK motorway, the team categorised each incident and determined the effect particular types of incidents had upon journey time both during and outside of rush hour.
- Incidents are highest cause of journey time delays, this is followed by rush hour, sporting events, and the dark
- Apart from traffic collisions, all other types of incidents tend to have a greater impact on increasing journey time during non-rush hour than rush hour
- During rush hour, congestion was found up to on average 3 km upstream of the incidents. During non-rush hour, congestion was found up to on average 4 km upstream.