Bob Lee

About Bob Lee

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So far has created 19 blog entries.
  • Making Better Transit Planning Decisions by Identifying ITS Data Errors

Making Better Transit Planning Decisions by Identifying ITS Data Errors

By |April 13th, 2018|

Over the last few decades public transit agencies have installed CAD/AVL systems on their buses for Computer Aided Dispatch and Automatic Vehicle Location. CAD/AVL systems capture data measurements of the location of the bus, number of passengers, delay, speed and many other variables, often as frequently as every five seconds. The result is a huge trove of data that can provide a wealth of information and insights about the operation of a transit agency. Data in these large quantities, however, always contains a significant number of errors. If charts, graphs […]

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Route Analyst GTFS Presentations in Seattle

By |December 13th, 2017|

Moonshadow CEO, Eimar Boesjes, introduced Route Analyst GTFS to a number of transit agencies and ITS professionals from the greater Seattle area on December 11th and 12th. Our partners at DKS Associates hosted a session at their offices on the 11th and Boesjes demoed the technology at the ITS Washington vendor showcase held at the University of Washington HUB on the 12th.

Route Analyst GTFS creates speed, delay and headway maps, charts and graphs instantly from your GTFS and GTFS-RealTime feeds.

Route Analyst GTFS is cloud-based database and analytics software for the […]

  • Railvolution-Opening-Slide

Presentation at Rail~Volution Conference Big Data Panel

By |September 12th, 2017|

Join Moonshadow CEO Eimar Boesjes on Monday, September 18th (Noon – 1:30 pm) for a lively panel discussion and presentation at the Rail~Volution Conference in Denver, CO. Boesjes presentation will focus on analyzing public transit data and how Internet of Moving Things data analytics and visualization delivers important benefits to public transit agencies and helps build livable communities.

Download and view the DB4IoT Rail~Volution presentation here:
PowerPoint
PDF

Rail~Volution is four days of energizing events that connect citizen activists, developers, nonprofit and business leaders, planners, local elected officials, community and housing advocates, transportation system […]

  • Internet of Moving Things Intersection 3

The Internet of Moving Things

By |August 14th, 2017|

DB4IoT was built from the ground up to tackle the enormous data challenges presented by the Internet of Moving Things. DB4IoT is a patented, highly-performant, time-series, geospatial database engine that is the core of our suite of Internet of Moving Things software tools.

The Internet of Moving Things (IoMT) encompasses moving objects – cars, trucks, buses, trains, people, wearable devices, mobile phones and tablets etc. – that can be tracked and exchange and interact with bits of data via cellular or WiFi Internet connections. Moving objects play a pivotal […]

  • TransPort Making Traffic Data Accessible 1

Presentation to Portland TransPort

By |July 17th, 2017|

Moonshadow’s CEO, Eimar Boesjes, delivered a presentation last week to TransPort, a subcommittee of TPAC (the Portland, OR region’s Transportation Policy Alternatives Committee). TransPort is a regional forum for cooperative planning and deployment of new transportation system management and operations technologies.

Boesjes teamed up with A.J. O’Connor and Steve Callas from TriMet on a panel discussion about transit data in DB4IoT and the different ways to look at transit data to improve system operations. An example of the collaborative efforts between Moonshadow, TriMet and DKS Associates was discussed with those in […]

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Making Traffic Data Accessible

By |June 23rd, 2017|

Moonshadow Mobile has developed DB4IoT, a database engine purpose-built for the Internet of Moving Things (IoMT).

Last week, Moonshadow’s CEO, Eimar Boesjes, presented DB4IoT at NAAUM 2017, the North American Aimsun Users’ Meeting in Portland, Oregon.

Moving vehicles generate enormous amounts of data. IoMT data isn’t Big Data, it is Bigger Data. To look at moving vehicles at a resolution of less than one meter of movement you need 50 measurements per second. At this rate a single car generates 180,000 timestamped records per hour of driving. To look at traffic […]