Skip to main content

Citilabs announces Cube version 5

Citilabs has released its next-generation product line, Cube 5. This new version of Cube has been developed using ESRI's ArcGIS technology, providing software users with significant advancements in productivity, analysis and data-sharing. Cube users will now be able to store transportation networks as ESRI geodatabases, utilising ESRI feature classes. Citilabs says moving data back and forth between models and GIS has never been easier, saving transportation agencies and consultants time and money.
March 13, 2012 Read time: 2 mins
Citilabs has released its next-generation product line, Cube 5. This new version of Cube has been developed using 50 ESRI's ArcGIS technology, providing software users with significant advancements in productivity, analysis and data-sharing. Cube users will now be able to store transportation networks as ESRI geodatabases, utilising ESRI feature classes. Citilabs says moving data back and forth between models and GIS has never been easier, saving transportation agencies and consultants time and money.

Cube 5 will allow an existing Cube user the choice to keep the traditional Cube networks or to convert all their data, with a click of a mouse, to an ArcGIS personal geodatabase. This capability makes it much faster and easier to pass data between ArcGIS applications and Cube applications. This is a two-way capability, so information generated or stored in a Cube model can be passed to an ArcGIS application for further processing and analysis. Conversely, transportation or land use information stored in a geodatabase can be transparently passed to a Cube model. For agencies with significant commitments to ESRI software and employee training in this area, the improved productivity offered by Cube 5's ability to directly process and store geodatabases will enhance the return on their GIS investments.

"Given the myriad uses of GIS software at national, regional, and local transportation agencies, I believe the productivity and flexibility Cube 5 offers will be eye-opening," suggests Ernie Ott, Citilabs VP. "In the past, joint users of ESRI and transportation modelling software would have to carefully consider how they approach a complex analysis in order to take advantage of the strengths of each platform. They would also consider where data might reside or be generated. The interoperability of applications using an ArcGIS geodatabase and applications based in Cube will remove some data processing steps from their workflows and often reduce the complexity of these procedures."

Related Content

  • July 26, 2012
    The growth of ITS service solutions providers
    Econolite's new subsidiary Aegis ITS has been set up to address the increasingly complex and exacting needs of agencies in the ITS sector. Chief Operating Officer Doug Terry talks about the evolution to service solution provider. A few very notable and honourable exceptions notwithstanding, it is these days becoming increasingly rare to find a public agency which develops its own traffic management systems. Indeed, most now rely on specialist manufacturers and suppliers to fulfil their needs. This has the h
  • October 24, 2019
    Bentley buys up Citilabs and Orbit
    Infrastructure software specialist Bentley Systems is continuing to expand its portfolio with its just-announced acquisition of Citilabs and Orbit Geospatial Technologies. Citilabs provides the global mobility solution CUBE and analytics package Streetlytics, while Orbit offers the Orbit GT software. Bentley CEO Greg Bentley did not reveal the size of the deal. The move will allow Streetlytics traffic data to become available through Bentley’s cloud services, to improve the quality of digital twin mod
  • May 21, 2025
    Bringing AI into ITS: Artificial realities
    AI can have a positive transformative effect on transportation safety and efficiency – but if you want creativity you still need a person, says Huawei
  • January 14, 2020
    Colorado DoT locates data-rich environment
    Colorado DoT and Esri have been cooperating to unlock data’s potential. Jason Barnes finds out what that has to do with firing a howitzer at snowy mountains – and exactly why things that happened in the past point the way towards future proofing