According to new analysis by Juniper Research, these solutions typically use sensors in combination with machine learning software algorithms to dynamically alter traffic light phasing according to traffic levels, smoothing urban traffic flows.
The new research — Smart Cities: Leading Platforms, Segment Analysis & Forecasts 2019-2023 — found that these technology-driven traffic solutions, which lower the emissions footprint of cities, will save the equivalent of over 780 billion passenger vehicle miles’ worth of greenhouse gas emissions over the forecast period.
It identified North America alongside the Far East and China as major investment regions, driven by strong prevalence for technology deployment over policy-driven solutions to lower traffic congestion.
In this context, the leading cities across the globe are:
- San Francisco
- Portland, Oregon
Juniper found that Barcelona leads the rankings on account of its investment into smart traffic solutions, electric vehicle charging infrastructure and policy, aimed at improving air quality and lowering private vehicle use.
And while San Francisco showed strong policy and innovation, the lack of regulation with regard to ride-hailing services has damaged its overall performance, Juniper says.
The research also found that while ride-hailing services are widely blamed for increased congestion, they have an opportunity to capitalise on the road towards future MaaS (mobility-as-a-service) deployments.
“Entities such as Didi capture vast amounts of data in regard to congestion, traffic and passenger flows”, said research author Steffen Sorrell.
“Analysis of this data will be fundamentally useful in optimising the MaaS travelling salesman problem, and provides an opportunity for smart city data monetisation.”
For more insights, download Juniper’s free whitepaper The Future of Lighting & Urban Mobility in Smart Cities.