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.

For more information on companies in this article

Related Content

  • Jeddah juggles transport needs of residents, pilgrims and tourists
    December 22, 2015
    Mass pilgrimages, new tourists and a growing population lead Jeddah to seek some smart transport solutions as David Crawford finds out. Rationalising traffic movement and public transport in a major Middle Eastern business and tourist centre that is also a gateway for millions of religious pilgrims every year is the challenge for the 20-year Jeddah Strategic Plan and the Jeddah Public Transport Programme (JPTP) it spawned. The latter is costed at US$8bn.
  • Platooning with Ease on the I-70
    July 15, 2025
    What would happen to truck platooning - a nascent technology - if the weather turns nasty? The I-70 Truck Automation Corridor Project in the northern US should provide some answers, reports David Arminas…
  • ITS in the Nordic states
    April 7, 2021
    Denmark, Norway, Finland and Sweden are quietly embracing advanced traffic technologies.
  • Gig economy drivers and riders at increased risk of collisions, warns UCL
    September 3, 2018
    Self-employed courier or taxi drivers who get their work through apps could be more likely to be involved in a collision, says a new study. The University College London (UCL) research found 63% of ‘gig’ economy respondents – who are not paid a salary - are not provided with safety training about managing risks on the road. The emerging issues for management of occupational road risk in a changing economy: A survey of gig economy drivers, riders and their managers also revealed 65% of drivers did not