MobilityIn

MobilityIn supplies new evidence and insights to deliver an in depth understanding of mobility. It provides an unprecedented view into traffic behaviours to support infrastructure, transport development, monitoring programs and road user behavioural research.

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What is MobilityIn?

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MobilityIn is a traffic insights service making use of anonymous aggregated telematics data to provide an unprecedented view of how mobility networks are used without the need for physical surveys or on road sensors.

Often, our service involves creating novel or bespoke data insights to support decision makers, inform transport models or evidencing transport change.

Our service presents statistical views of driver behaviour over regions over time.

How it works

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We examine telematic journeys that travelled through a target region during a study period (typically 3-12 months) to produce statistically representative outputs devoid of bias.

The duration of any study period is proportional to the quality and time resolution of the eventual outputs. Projects with longer study periods will use more journeys and produce better quality outputs.

A study period does not have to span consecutive days. For example, a customer may wish to compare behaviour inside and outside of school term time, in which case those two periods can be isolated and used to produce separate analyses allowing flexibility for various transport scenarios.

We perform the aggregation of vehicle behaviours over short directional road segments covering the entire road network providing insights for any part of the road network. 

MobilityIn can produce statistics about the travel patterns of vehicles through specific locations by aggregating millions of vehicle behaviour measurements by each location. 

Unlike surveys that use fixed sensors (e.g. ANPR cameras or ATC pressure sensors), MobilityIn’s approach considers the full passage of a vehicle through a neighbourhood.  This allows us to present our clients with a comprehensive view of mobility in that area, so that behaviour can be accurately identified across the network and not just at fixed measurement points.

This approach allows data to be tailored to bespoke needs and suitable for a wide variety of requirements.

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What does Mobility in provide

Benefits of MobilityIn

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    Accurate

    We use mobile vehicle monitoring to develop a deep understanding of actual driving behaviours exhibited on our roads.

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    Comprehensive

    MobilityIn provides visibility of thoroughfare traffic and between fixed point sensors to understand traffic and mobility behaviours across the entire network

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    Cost-effective

    Quick and simple to get up and running, highly scalable solution and removes need for on-site surveys, minimising risks on the road

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    Experienced

    We work with a number of organisations including Local Authorities, Councils, Government agencies and leading academia to deliver an unprecedented view of mobility

Data can be used to understand

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    Vehicle speeds

    Average, histograms or percentiles

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    Accelerations

    Variability, histograms

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    Time spent

    Moving, accelerating, decelerating, queues, dwell time and vehicle idling

Product options

  • Map with two blue arrows indicating upward movement, one large arrow on the left and a smaller arrow above, with streets and blocks outlined.

    Traffic flow

    Traffic flow is the estimated number of cars per hour passing through each road segment for a given time period. This estimate is the number of observed journeys scaled by a calibration factor. The calibration is calculated by comparing the observed flow to national AADF data, and can be refined further using any local contemporaneous  survey data (such as that produced by ATC surveys). Our sample of drivers should be homogeneously distributed throughout the country, as this best meets the needs of motor insurers. 

  • Top-down view of a parking lot with two cars connected by a tow line, with overhead garage doors on adjacent walls.

    Thoroughfare Blend

    The thoroughfare blend is the ideal tool for gaining a street-by-street understanding of rat-running across a neighbourhood, town, or city.

    We measure the number of times that cars travel along each road that did not start nor end within the study region. This measurement is part of what we call blend analysis – the proportions of traffic that originated or terminated outside or inside of a region of interest.  We supply four quantities as part of this analysis; the percentage of journeys travelling outside to inside, inside to outside, trips that are strictly internal to the region and those trips that travel through the region without the car parking.

    At present, many thoroughfare studies involve feeding data from ATC surveys into a traffic model that then predicts the routes that vehicles take between survey locations.  In contrast, the thoroughfare blend solution looks at the actual route taken by the vehicles while inside a region. 

  • A circular traffic sign showing a four-way intersection with cars and directional arrows. The left lane allows left or straight, indicated by a large blue upward arrow. The right lane allows straight, indicated by a smaller blue upward arrow. The sign is in black, white, and blue colors.

    Origin & destination

    An estimation of the number of trips per hour between two locations.  The locations can be regions, such as town to town travel, or individual streets by creating virtual checkpoints.  Virtual checkpoints can be used to understand the car traffic travelling between the entry and exit roads to a region or neighbourhood, as well as the common routes that vehicles take as they pass through a network of such checkpoints.

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    Speeds

    We can provide speed statistics, such as the median or 85th speed, for every road segment in a region, per hour of the day.  Our speed data is particularly useful for providing a comparison between the current and historic behaviour through any UK road.

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    Routing & journey times

    Sometimes customers want to know how journey times have changed between two epochs.  The Floow can provide a statistical measure of the travel time along user-defined routes. This analysis is useful for understanding how the travel time has changed across key junctions or road sections.

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    Junction turning

    It is often desirable to understand how often vehicles make particular turns at major junctions.  We can offer an OD frequency analysis of all junctions with moderate to significant traffic within a study region or of specific intersections. 

Outputs and formats

Data and insights are provided as tabular data so the client organisation can combine them with their existing data or perform subsequent analyses.  We include summary figures that are designed to highlight the most interesting results.  Alternatively, the MobilityIn service can provide additional, bespoke outputs such as geographical formats. Bespoke work can involve the generation of public-facing content, further summarisation, analysis or creation of new metrics to tackle specific questions.    

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  • “The data provided by MobilityIn has become an integral tool for PJA and its urban planning projects. The Data provides a unique insight into driver behaviour and patterns providing our clients with a new means of understanding how areas are used for traffic”

    PJA

  • “The Floow’s MobilityIn data delivered new insights to help the region understand and quantify mobility behaviours. Unlike other approaches, this provided a view covering all roads across the entire Royal Borough of Greenwich region. For the first time, this gave us the ability to not only understand congestion, but to quantify its impact statistically.”

    DG-Cities

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Would you like to find out more or discuss your business needs?

  • Get in touch to discuss your unique business needs and see how we can provide solutions and services to meet them

  • Experience product demonstrations by arranging a 30-minute demo with one of our sales team

  • Receive personalised guidance from experienced, industry professionals

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