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TRANSLOG is an online data capture and reporting platform designed and developed by TLC for cross-border monitoring. The system currently works on either manually collected data using printed data collection sheets with the information entered into the sheets manually or more recently with digital data collection using our specialized software on high end tablets by trained Enumerators strategically placed at stations both outside and inside the Border Control Area to allow accurate collection of:

  • Vehicle arrival times at the border
  • Vehicle Registrations for tracking purposes
  • Vehicle configurations
  • OD (Origin & Destination) information
  • Commodities carried
  • Tonnage of cargo
  • Entrance times into Customs Control Area
  • Submission of documents to Customs
  • Cargo Inspections
  • Release Order times
  • Final Exit times from the border

Once this information is captured into the online platform either through manual entry by data capture or uploaded to the platform electronically from a laptop or PC, the program automatically generates number of user friendly reports consisting of tables and graphs covering the following outputs:

  • Traffic volume counts by vehicle category (Day & Night Counts)
  • Arrival patterns at the border
  • Origin & Destinations of vehicles and cargo
  • Transporter Nationality of vehicles
  • Commodity or Cargo types by Customs classification
  • Detailed breakdown commodity tonnage by vehicle configuration
  • Frequency of Arrivals, Submissions and Departures
  • Distribution of Vehicle Dwell Times and comparison by Customs Pre-clearance
  • Border-crossing times by vehicle category and all vehicles
  • Border-crossing times by Customs pre-clearance and normal clearance
  • Border-crossing times by Customs Regimes i.e. SCT (Single Customs Territory), NTB (National Transit Bond), DI (Direct Import) and ER (Empty Returns)

TLC is currently at an advanced stage of semi-automating TRANSLOG using either barcodes or robust re-usable RFID tags and handheld scanner/readers to minimize the human error factor of manual data collection. This will also allow for reduction in the number of Enumerators required for data collection and the information collected via the handled scanners/readers and RFID tags will be uploaded via a laptop or PC to the cloud based platform that will automatically generate the above mentioned reports thus eliminating the need for data capturers and improving the accuracy and efficiency of the system. Viewing of historical projects for public consumption and client based projects will be accessible through a unique user name and password that define the accessibility of the unique user.