Multimodal multi-partner public transport reference database management tool

A public transport reference database of validated and qualified data is the cornerstone of a Multimodal Information System (MIS) in terms of architecture and content. If the data from the reference database is inaccurate or incomplete, the suggested multimodal journey solutions will not be relevant, regardless of the trip planner’s performance.

 

A data import and management tool

optYbase allows the management of a multimodal/multi-partner public transport reference database in 3 steps:

  • integrate network data describing the public transport offer (stops, fixed routes, schedules, operation periods, Point of Interest) using interfaces with network operations business solutions (Hastus, Chouette, Titan…)
  • identify and correct anomalies which can occur, using automatic test (detection of missing data, incorrect formats, inconsistent schedules…) and geographical consistency control features
  • link different partners’ data (naming of shared stops, connection management between operators/modes, laocal traffic specificities…)

Multi-partner management

optYbase is made to ease the management of complex multi-partner projects by allowing:

  • Each partner to feed the shared public transport reference database and to independently manage his own dataset
  • A central administrator to handle the linkage of multi-partner data to create an efficient multimodal multi-partner public transport reference database
  • Involved stakeholders to follow-up interventions which are done on the public transport reference database over time

Transport offer analysis and optimization features

Using the trip planner engine, optYbase provides different tools to undertake precise analysis of the transport offer combining all transport suppliers, in order to provide an overview of the efficiency or the deficiencies of the operating territory:

  • interchanges analyis: intermodal interchange global offer analysis, graphic visualization of connection conditions (distance between stops, connection times..)
  • gaps and overlaps analysis: synthesis of the global offer provided for a specific journey, graphic visualization of runs repartition and modal transfers
  • isochronal analysis to compare access times to an arrival reference point according to departure points and the transport modes that are used

Client case study

Greater Toronto area intermodal trip planner

Metrolinx, an agency of the Government of Ontario, convened the 11 Transit Agencies in the Greater Toronto and Hamilton Area to develop a Regional Transit Traveller Information System (RTTIS). The primary goals of the RTTIS are to:

  • increase the attractiveness and usability of transit services in the region;
  • support transit travelers who travel across service boundaries;
  • and create a collaborative framework for sharing data among Transit Agencies, and to ease the export of aggregated data to third parties

All the RTTIS partners are working on the creation of a multimodal multi-partner reference database using the optYbase and Chouette products. The reference database will be the core of the Multimodal/Intermodal trip planner of the RTTIS.

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Strenghts

icon-1  A tool designed to ease data and services exchange

 

icon-2 Optybase integrates the partners data taking into account all their own specificities, but also allows to do exports or re-export in normalized formats (either national or international) as Neptune, GTFS…. It is then ppossible to feed several information systems or other operating tools (smart ticketing system, CAD/AVL systems…) without having to duplicate the data entries and with the guarantee that the data is consistent and qualified.

 

icon-3 Optybase allows imports automation: all data suppliers that hava of course an evolving offer throughout the year can transfer automaticaly on a dedicated server their new datasets each day, week, month… according to their own needs. A data verification is run automatically, on every import to qualify the new dataset. If the system detects anomalies, the new dataset would not be put into production and the concerned data provider will be alerted of the dataset status by email.