Blog

Announcing the Waypoints GIS Connector

By |January 5th, 2023|

Stellar Services, Arup and Moonshadow team up to address an urgent need

Departments of Transportation (DOTs) maintain their road network information in GIS systems. Connected Vehicle (CV) data gives us detailed information on how the road network is used. DOTs, therefore, have a need to combine road usage information from CV data with the road network information in their GIS system.

Arup used data from Michelin to visualize the congestion resulting from a Citi Field Mets game inside of ArcGIS over time

As vehicles are driving they send an update to the cloud every few seconds to generate a sequence of ‘breadcrumbs’ or […]

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MMZIP Reduces Wejo Data Preparation Time & Costs by 90%

By |December 14th, 2022|

December 14, 2022

Moonshadow Mobile started the development of MMZIP, its waypoint compression technology, last summer. We recently had an opportunity to test out MMZIP for a large-scale project that was using Wejo data. The results were very impressive; MMZIP reduces the data preparation time and costs by over 90% and our client can start using the data weeks earlier.

Moonshadow was asked to prepare one year of Wejo data for all trips in the state of Alabama for transportation analysis. Wejo generated over 90 billion waypoints and made these available as 10TB of GZIP files on AWS. Downloading the 10TB of […]

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MMZIP Reduces Waypoint Cloud Costs by 90%

By |November 18th, 2022|

MMZIP Reduces Connected Vehicle Data processing time and costs by over 90%

Moonshadow’s MMZIP compresses, enriches and filters data from connected vehicles, fleet software, mobile apps and IoT devices. MMZIP is provided as a set of executables that data processing engineers can install on their own servers and integrate into their own data processing pipeline. This blog posting describes a common use case that data engineers need to perform on connected vehicle (CV) data and estimates the savings in time and cost that can be realized using MMZIP.

We looked at the following use case:

Compress one billion waypoint recordsDownload the dataDecompress the […]

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MMZIP Matches Ten Million Waypoints to Areas per Second

By |October 27th, 2022|

Connected Vehicles and Location Based Services Mobile Apps send location updates to the cloud while moving to generate a series of waypoints. Waypoint data has become an important source of information for many industries but especially for transportation analysis.

Data from millions of vehicles or mobile phones can contain hundreds of billions of waypoints. Before you can look at the vehicle miles traveled in a county, perform an origin/destination analysis for a city or review the travel times on a road you need to match every waypoint to the roads and areas. Assigning roads and areas to billions of waypoints can […]

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Announcing MMZIP Waypoint Compression

By |September 14th, 2022|

Moonshadow’s flagship mobility analytics platform DB4IoT, the DataBase For the Internet of Things, gets its unsurpassed speed from a combination of data compression and an internal data structure that is optimized for waypoint data. Moonshadow is now making this technology available in a stand-alone compression tool: MMZIP.

Connected Vehicle and Mobile Devices generate Waypoints while moving

Connected Vehicles (CV) and Location Based Services (LBS) Mobile Apps send location updates to the cloud while moving to generate a series of waypoints or ‘breadcrumbs’. Waypoint data has become an important source of information for many industries from transportation analytics, planning and public transit to […]

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Moonshadow Map Matcher Surpasses One Million Records per Second

By |July 26th, 2022|

Connected Vehicles send location updates to the cloud while driving. This results in a series of waypoints or ‘breadcrumbs’ for each vehicle trip. By analyzing waypoint data from millions of trips transportation engineers can derive very valuable information about the use of the road network. Before engineers can use waypoint data to analyze road usage they need to determine for each waypoint on which road the vehicle was driving. This process is often referred to as ‘map matching’ the waypoints. In this process all road segments from a base map are loaded into memory and every waypoint is matched to […]

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