Skip to main content

Mobile LiDAR technology used to capture traffic signal data across Pennsylvania

Engineering, planning and consulting services company Michael Baker International recently completed a nearly US$7-million project for the Pennsylvania Department of Transportation (PennDOT) to collect data from more than 8,600 traffic signals across the state. Over a year, the Michael Baker team, working with PennDOT’s Traffic Signal Asset Management System (TSAMS), collected nearly 20 million data fields for each of the 8,623 traffic signals analysed, which populated a centralised database to support Pen
November 30, 2016 Read time: 2 mins
Engineering, planning and consulting services company Michael Baker International recently completed a nearly US$7-million project for the 6111 Pennsylvania Department of Transportation (PennDOT) to collect data from more than 8,600 traffic signals across the state.  Over a year, the Michael Baker team, working with PennDOT’s Traffic Signal Asset Management System (TSAMS), collected nearly 20 million data fields for each of the 8,623 traffic signals analysed, which populated a centralised database to support PennDOT’s future planning, design, maintenance and operational decision making.
 
With the passage of Pennsylvania Act 89 in 2013, PennDOT identified traffic signals as an area of necessary investment and established the Green Light-Go (GLG) program to manage the dedicated traffic signal funding and corresponding maintenance and operations projects

Michael Baker’s fleet of LiDAR-equipped vehicles are capable of surveying an area by measuring the distance to a target by illuminating it with two laser lights, each of which can measure up to 600,000 points per second with a total maximum measurement frequency of 1,200,000 points per second. The firm’s LiDAR equipped vans collected all visible assets to minimise traffic disruption and prevented technicians from working in traffic lanes.
 
Mobile LiDAR equipped vans collected data from exposed traffic signal infrastructure assets, mapping entire intersections in three-dimensional point clouds, while corresponding spherical imagery was collected using a ladybug camera.

Data from traffic signal cabinet assets was collected by field staff using a project-specific iPad mobile application (app). Electronic files of traffic signal records were transferred and attached to the database and pertinent filed paper documents were scanned to retrieve information electronically.

Related Content

  • September 6, 2021
    PennDoT to help crews reserve workzones
    Crews will be able to make a reservation to perform road work during off-peak hours
  • September 15, 2014
    Moxa provides clear vision for Caldecott Tunnel’s Fourth Bore
    Caldecott Tunnel’s new Fourth Bore is utilising a bespoke high-capacity monitoring and communications network from Moxa. The Caldecott Tunnel connects Contra Costa and Alameda counties in Northern California and traditionally it has suffered severe congestion - especially during peak hours. Opened in 1937 as a twin-bore arrangement, by 1964 the increase in traffic volumes led to a third bore being added. Shortly after the third bore was opened a tidal flow was introduced with the centre bore alternating in
  • September 30, 2020
    Parifex speed cameras: picture perfect
    From speed cameras to smart cities, image processing and AI – Parifex is not short of ambition. Nathalie Deguen tells Adam Hill where the French company is heading next
  • January 30, 2012
    Bus service data, better journey planning, better information
    Chris Gibbard and Paul Drummond of Transport Direct on developments in Great Britain in the electronic transfer of bus service data. Great Britain has a dynamic bus market which permits a bus operator to initiate or alter commercial routes by giving a minimum of eight weeks' notice to a registrar (the Traffic Commissioner). A Local Transport Authority (LTA) neither specifies nor determines such services. In addition to commercial bus routes, an LTA will tender and contract for the operation of those additio