The way we travel is changing
The way we travel has changed rapidly in the past few years, accelerated in particular by the COVID-19 pandemic. Cities must shift the focus of transport infrastructure away from motor vehicles and towards more vulnerable transport modes and more sustainable travel methods.
New transport modes such as e-scooters, shared micromobility schemes, and an increased uptake in active travel modes (cycling and walking), are becoming more prevalent, and transport networks need to adapt.
Making roads safer for pedestrians and cyclists and optimising network performance for these modes provides essential support for modal shift.
The rewards of facilitating active travel are vast and include:
- Reduced vehicle related emissions
- Enhanced road safety
- Decreased congestion
- More reliable public transport
- More accessible urban areas
- Improved urban air quality
- Improved physical and mental health for urban communities
Designing Active Travel schemes
Cars have dominated urban traffic for decades. As a result, traditional traffic monitoring technology is focused almost solely on motorised vehicles. The advent of modal shift towards active travel and new forms of transport means that traditional traffic monitoring techniques and technologies are no longer fit for purpose.
To optimise transport networks in response to modal shift, local authorities need accurate baseline data on how their roadways are being used by active travel and other emergent transport modes. Without accurate data-led insights, planning, designing and measuring the impact of schemes is guesswork, carrying safety, environmental and economic risks.
Monitoring and reporting at your fingertips
VivaCity’s AI computer vision technology gathers accurate, anonymous and detailed, 24/7 real-time data on how pedestrians and cyclists navigate road space, enabling the identification of behavioural trends and interactions between other transport modes.
Features that support the planning, implementation and evaluation of modal shift schemes include:
- Classified counts – Differentiate between multiple transport modes and monitor changes in active travel over time
- Path data – Insight into movements of different modes across path and road space, identify potential safety risks for vulnerable road users
- Zonal Speed – Insights into the average speeds of multiple transport modes across an allocated area
- Turning Counts – Insights into turning volumes at key junctions of different transport modes and interactions between vulnerable and less vulnerable road users
Data insights from our traffic monitoring solution supports modal shift schemes in a range of ways:
- Baseline data – Know active travel patterns and behaviours to guide interventions, set predetermined goals and measure post-implementation impact against these
- Long-term and real-time data – Access historic and real-time data to identify trends, anticipate network demand and performance
- Comprehensive quantitative data to support funding applications – Demonstrate your ability to monitor and evaluate Active Travel 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
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.