Slower speeds save lives
Halving the number of global deaths and injuries from road traffic accidents is one of the UN’s Sustainable Development Goals. With a growing number and variety of vulnerable transport modes using the road network, the demand to make our roads safer is greater than ever.
Historically road safety initiatives have focused on human error and behaviours, but government agencies are now endorsing a Safe System approach. This internationally recognised strategy recognises that human error is no longer the primary cause of road accidents. It is failures in the road network itself that pose the greatest risks.
Road safety is a vast and complex theme, and the most important subject for networks to address. Effective road safety schemes will benefit the environment, traffic flow, physical health and wellbeing.
The challenges of implementing road safety schemes
In an effort to reduce accidents, a variety of traffic calming and modal segregation measures are growing in popularity, including:
- Low Traffic Neighbourhoods
- School Streets
- 20mph zones and reduced speed limits
- Physically segregated cycle lanes
- Traffic signalling with modal priority
- Temporary or permanent pedestrianisation of roadways
But that’s not enough. Reliance on collision data and an absence of data for the most vulnerable road users (cyclists and pedestrians) means that many local authorities are acting reactively and speculatively when it comes to tackling road safety issues.
Accurate and detailed multi-modal baseline data is essential for effective road safety schemes. This data illustrates the current situation on your roads and enables clear objectives to be set. Post-implementation, baseline data is an excellent resource for assessing the impact of interventions.
Road safety traffic insights at your fingertips
VivaCity’s AI computer vision technology gathers accurate and detailed, 24/7 real-time data. Behavioural trends and interactions between the most vulnerable road users (cyclist and pedestrians) and the most dangerous (HGVs) can be identified – data that’s imperative for creating a safer road network for all.
Features that support the planning, implementation and evaluation of road safety improvement schemes:
- Classified Counts – Differentiate between transport modes and ascertain their volumes throughout the day to inform targeted road safety initiatives
- Path Data – Classified road user movement tracks to illustrate how road space is being used and highlight opportunities for safety enhancing interventions
- Zonal Speed – Average speed data across an allocated area to indicate if speed limiting measures are needed and where
- Turning Counts – Turning volumes and behaviours at key junctions to highlight dangerous locations that require safety measures
- Near Misses – Track paths to identify dangerous interactions between vulnerable road users and vehicles
Data from our traffic monitoring solution supports road safety schemes in a range of ways:
- Baseline data – Understand modal road user behaviours and speeds across road space to guide interventions, set predetermined goals and measure post-implementation impact against
- Long-term and real-time data – Access historic and real-time data to identify trends and assess changes in road use behaviour and speeds
- Comprehensive quantitative data to support funding applications – Demonstrate your ability to monitor and evaluate scheme performance effectively
- Data backed decisions and evidenced results – Communicate the reasons for and impact of a scheme to local communities and stakeholders with credibility and clarity
Case Studies and Technology Applications
Keeping citizens’ data secure and private.
Our vision is to provide citizen-centric Smart Cities that make our environments more interconnected, greener and safer. Keeping citizens’ data safe and private is critical to the success of our technology, and our privacy-by-design principles is at the heart of how we do things.