Inrix says it has identified two key findings derived from the hundreds of millions of data points collected concerning population movement, congestion and parking in urban areas across the US.
“Shared-use vehicles will be a highly effective deployment of autonomous vehicles, where shorter, intra-city trips can maximise occupancy and efficiency, which means safer, faster and more convenient travel for users,” said Inrix autonomous vehicle market strategist, Avery Ash.
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To see what urban areas could have the greatest proportion of vehicle travel replaced by HAVs (Highly Autonomous Vehicles) Inrix looked at one year’s worth of travel – nearly 1.3bn trips – in and around the top 50 US cities by population.
Combining Inrix data and StreetLight InSight, a mobility analytics online platform from partner StreetLight Data, Inrix Research analysed trips that began and ended within a 25-mile radius of each downtown and compared this to aggregate regional trips (including outbound, inbound, and passing-through trips) to establish a percentage of intra-city travel.
Inrix then looked at the percentage of a city’s intra-city trips, ten miles or less and combined these two metrics to score each city out of a possible 100 points.
Top 10 US Cities Primed for Autonomous Rollout with Rank and Inrix HAV city score:
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By GlobalData1 – New Orleans – 90.33
2 – Albuquerque – 89.85
3 – Tucson – 89.35
4 – Portland – 89.32
5 – Omaha – 89.20
6 – El Paso – 89.12
7 – Fresno – 89.07
8 – Wichita – 89.06
9 – Las Vegas – 88.99
10 – Tulsa – 88.09
As cities prepare for autonomous vehicles, planners need to prioritise deployment strategies to maximise potential benefits. The mobility goals of cities vary, such as reducing congestion and emissions, expanding mobility to underserved and lower income populations and reducing cost-intensive capital infrastructure improvements.
“Big data is a powerful tool that should be used as cities explore HAVs and mobility data and analytics are more powerful when multiple layers are added into the equation,” said Inrix transportation analyst, Bob Pishue.
“Using data-driven insights to inform public planning will allow city officials to proactively leverage HAVs to solve key mobility and societal challenges while mitigating potentially-negative side effects of this technology.”
Leveraging aggregated Inrix trip data from millions of connected cars, parking availability and restrictions and US Census demographic data, Inrix created a scalable and customisable scoring system to analyse and visualise priority corridors for HAV deployment.
