PTV takes lessons from logistics software to help test AV behaviour

Some people in the transportation industry may be reluctant to treat travellers as goods that need to be shipped from point A to point B. The traffic software engineers at PTV Group are not some of those people. According to Jongsun Won, the lessons he and his colleagues have learned from years of creating logistics software are extremely useful in the new age of autonomous vehicles. “In an autonomous vehicle, people are essentially the goods that are being transported around a city,” Won said. “There are
June 7, 2018 Read time: 2 mins
© F11photo | Dreamstime.com
Some people in the transportation industry may be reluctant to treat travellers as goods that need to be shipped from point A to point B. The traffic software engineers at 3264 PTV Group are not some of those people. According to Jongsun Won, the lessons he and his colleagues have learned from years of creating logistics software are extremely useful in the new age of autonomous vehicles.


“In an autonomous vehicle, people are essentially the goods that are being transported around a city,” Won said. “There are definite lessons to be learned as cities try to figure out how driverless cars are going to behave.”

PTV gives cities a platform they can use to test out different traffic scenarios, so they can identify potential problem areas such as congested intersections and merge lanes. One thing that transportation officials are interested in today, is how autonomous vehicles are going to change traffic patterns—for the better or for the worse.

“The fact is, no-one knows how autonomous vehicles are going to impact traffic. PTV helps collect, study and analyse pertinent data that can provide insight into these behaviours.”

Booth 235

For more information on companies in this article

Related Content

  • Philip Blake wins Max Lay Award
    December 2, 2022
    Lifetime achievement gong is awarded by ITS Australia to AV pioneer who is an 'inspiration'
    Read More
  • IBM Big Data helps Dublin improve transport operations
    May 17, 2013
    The city of Dublin is using IBM Big Data identify and solve the root causes of traffic congestion in its public transport network throughout the city, which means improved traffic flow and better mobility for commuters. Integrating data from a citywide network of sensors with geospatial data means that city officials are able to better monitor and manage traffic in real time. To keep the city moving, the council’s traffic control centre works together with local transport operators to manage an extensive ne
    Read More
  • Road death toll increasing in poor countries, says WHO report
    February 20, 2019
    The latest figures from the World Health Organisation on road deaths make sobering reading – but they are particularly shocking when you consider how the relative poverty of countries contributes to high fatality rates, says Adam Hill Around 1.35 million people died on the world’s roads in 2016, while road traffic injuries are now the leading cause of death among young people, according to new statistics from the World Health Organisation (WHO). Perhaps the most sobering point from its latest research
    Read More
  • PTV Group and VEDECOM partnership to focus on MaaS, smart cities and autonomous vehicles
    July 12, 2017
    Germany’s PTV Group and French institute VEDECOM have announced their collaboration on a three-year strategic initiative. VEDECOM focuses on research and development in the field of MaaS (Mobility as a Service) in smart cities, including the integration of autonomous vehicles and their monitoring in real-time.
    Read More

Highlighted Content