Real-time connected vehicle data for improved, safe, and efficient mobility across London.
The Mayor’s Transport Strategy outlines ambitious goals - like 80% of London trips made by foot, bike or public transport by 2041, and net-zero carbon by 2030 - yet significant challenges remain. Congestion is increasing, with drivers losing 101 hours sitting in traffic in 2024. Additionally, despite progress in reducing road deaths, 3,710 people were seriously injured or killed in 2023, mostly at junctions. And while the ULEZ has seen improvement in air quality, there is still need to reduce emissions.
While London faces these mobility challenges, there is a major opportunity emerging. By 2027, it’s estimated that there will be over 300 million connected vehicles across the globe. The Road Intelligence for London Mobility (RILM) project aims to leverage this connected vehicle data to address the critical urban mobility challenges set out in the Mayor’s Transport Strategy.
RILM will integrate Compass IoT’s Road Intelligence solutions - a comprehensive platform and bespoke dashboards - to provide Transport for London (TfL) with real-time data, predictive analytics, and actionable insights. Compass IoT will provide connected vehicle datasets alongside TfL’s bus and crash data to further inform transport planning and targeted interventions for better mobility.
Overall, the project aims to enhance road safety through near-miss, g-force, and speed analytics to target and assess safety interventions for vulnerable road users and identify high-risk areas. Additionally, the project looks to optimise public transport by analysing bus data for junction analysis, service time improvements and traffic signal optimisation, and utilise traffic data to improve signage for better network performance.
RILM begins.
Compass will facilitate workshops and meetings with TfL to refine the project scope, focusing on road safety, bus optimisation, junction analysis, and network performance. To mitigate the risk of scope creep, clear project boundaries will be documented.
Data scientists will cleanse and analyse connected vehicle data, constructing the necessary insights. The resulting dashboards will be presented to TfL's transport team for validation and feedback. To address potential data quality issues, robust data cleansing and validation will take place.
For approved workflows, TfL may choose to disseminate insights more broadly to interested teams within the organisation. To mitigate risks of user confusion and engagement challenges, Compass staff will provide comprehensive training, workshops and support materials.
Measuring the success of RILM and reporting back.