Who are VRUs?
Vulnerable Road Users (VRUs) are road users with comparatively low levels of crash protection and therefore a higher risk of being injured or killed in a road crash and experience higher casualty and fatality rates per mile travelled.
VRUs are traditionally considered to include pedestrians, cyclists, motorcyclists and horse riders. However, with the increase in the use of e-scooters, riders of these devices should also be considered as vulnerable. Within the main groups of VRUs, groups of users with specific characteristics can be identified and their specific needs should be considered such as: those with reduced mobility such as wheelchair or mobility device users or pedestrians pushing prams or accompanied by small children.
The need for Vulnerable Road User Safety
The need to improve VRU safety includes:
- To redress their high casualty rate compared to other types of road users.
- Making active travel safer and more attractive helps deliver initiatives promoting healthy living and carbon reduction.
- As much of the market driven effort in developing technologies and use of connected data are focussed on motor vehicles, the needs of VRUs may be neglected or overlooked.
The adoption of technology and connected data enables traffic authorities and transport operators to build more sustainable, safer and reliable transport networks. This can enhance the safety and comfort of travel of VRUs, including reducing casualty and fatality rates, whilst contributing to physical and mental health benefits and carbon reduction initiatives through the promotion of active travel choices.
Current trends
The value of open data availability and sharing in the field of VRU safety is increasingly being capitalised:
- Oxfordshire County Council provides a platform for cycling data https://oxbike.co.uk/. One of the purposes of this platform is to show how quick and easy it can be to cycle and encourage people to travel by bike or “Park & Pedal”.
- Transport services and products are now available that provide direct services that support VRU safety, or datasets that are useful for planning, performance and safety analysis for VRUs. For example, Wheelmap is a web-based app that allows users to search for, find and identify wheelchair-accessible places.
- The National Parking Platform, utilising the Alliance for Parking Data Standards includes capabilities to identify user accessibility needs as part of the app-based parking services that it enables (see the Parking Management use case).
Traffic infrastructure products coming onto the market recently have capabilities to provide facilities for VRUs and create better datasets for VRU traffic. This includes
The availability and capability of active safety features incorporated into motor vehicles continue to develop. For example, enabled by improved radar/camera/ Lidar sensors; software/computing development and new standards the latest Autonomous Emergency Braking (AEB) systems are able to react to protect vulnerable road users. In-vehicle technology, including the use of cameras to provide drivers with a view of blind spot areas, is being used to tackle the lack of visibility of VRUs such as cyclists to drivers of larger commercial vehicles is a leading cause of accidents. HGVs registered since 1 November 2015 are required to be fitted with AEB. However, earlier AEB systems only detect motor vehicles, only newer AEB systems are designed to react to cyclists and pedestrians and Pedestrian AEB is now available on the market and may become a compulsory requirement in the future.
The consortium developing C-ITS defined a set of use-case and service specifications to protect vulnerable road users using cooperative communication between road users and infrastructure. Projects such as VRUITS have developed and field-tested the direct application of technology based on these C-ITS services, although most of these products and services are not yet ready for market. However, Copenhagen has implemented C-ITS services on a large scale for cyclists including a Green Light Optimal Speed Advisory service, which is available for cyclists through the GreenCatch mobile app.
Micromobility services have developed rapidly, including dockless bike-share hire services and currently trials of e-scooter rental services are taking place throughout England. Innovations in micromobility are beneficial for promoting low impact and active mobility, for example by providing flexible first and last mile transport. However, these may be less accessible for users with reduced mobility and there are safety concerns associated with some micromobility developments – including the use of e-scooters, around their interactions and impacts on other road users such as pedestrians and motor vehicles.
Travel planning services increasingly use data connectivity to facilitate multi-modal travel and provide first and last-mile connectivity for example Google maps provides options for using local micromobility services (see the MaaS use case).
See.Sense provides bicycle lights and tracker products with GNSS/sensor telemetry capabilities collect data from their users with attributes that include: location/time, high frequency accelerometer, and cycle survey reports. The ROSPA Cycle Smart Brum report provides an example of applying this data to understand reported and unreported cycling collisions and See.Sense have developed analysis techniques covering a variety of insights:
- Data supporting the design of optimal cycling networks:
- Popular routes/speeds, dwell time and congestion, pedestrian conflict areas.
- Safety analysis:
- Swerving and braking data collates with Stats 19 collision data but identifies where near-miss incidents occur providing a leading indicator of risky areas for cyclists.
- Pavement surface conditions:
- Mapping of pavement unevenness builds an understanding of where repairs are needed to manage comfort and safety for cyclists.
- Evidence cycle infrastructure performance:
- Data can provide before and after comparisons to understand the impact of changes.
- Understanding diverse needs:
- Anonymised profile data including age and gender allows analysis of differences in experiences.
- Collection of user survey data that provides a detailed understanding of user perceptions, experiences and requests.
The Strava fitness app platform provides a dataset called Metro to relevant bodies with the intention of helping to make human-powered travel more efficient, safer and accessible. This dataset can help the effective planning and prioritisation of interventions through, for example, identify high risk routes and helping to evaluate the impact of proposals. Devon County Council made use of this dataset to prioritise repairs on more popular cycling roads.