Skip to main content

Toyota funds project to ease Bangkok congestion

Toyota Mobility has provided a ฿50 million (£1.2m) grant to Chulalongkorn University as part of a project to ease congestion on Rama4 Road in Thailand’s capital Bangkok.
By Ben Spencer January 31, 2020 Read time: 1 min
Traffic congestion in downtown, Bangkok, Thailand (source:ID 13572763 © Roman Knertser | Dreamstime.com)

The Toyota subsidiary says the 18-month project will combine GPS data from Grab Taxi and public buses, CCTV footage and multiple sensors with artificial intelligence and machine learning to understand current traffic conditions. 

The partners will also seek to comprehend trends to predict future traffic issues and eventually gain insights for the design of traffic management systems and transportation networks. 

This project extends the ‘Sathorn Model’, an initiative which used traffic signal control optimisations, smart shuttle services and flexible working time to develop a roadmap to counter congestion. 

Other partners involved in the project include the Bangkok Metropolitan Administration and Metropolitan Police Bureau, insurance company ITIC, AIT (Asian Institute of Technology), data science company Siametrics and mobility firm Waycare.


 

Related Content

  • Cubic: predictive analytics is putting fortune tellers out of business
    November 23, 2018
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a
  • Flexibility, interoperability is key to future traffic management
    February 3, 2012
    Jon Taylor of Faber Maunsell and Tabatha Bailey of Transport for London describe how an unusual mix of traffic practitioners, researchers and industry are working together to build new tools for the future. As we face higher expectations for managing congestion from both citizens and politicians, and as more and more data is becoming available from new sources, our traffic management challenge is changing.
  • Data is driving force behind TomTom's intelligent traffic management
    August 23, 2024
    The complexities of modern urban life have put unprecedented strain on transportation infrastructure. Traffic congestion, accidents, and inefficient resource allocation are persistent challenges. However, as Frans Keijzer, Bid Manager EMEA and APAC at TomTom Enterprise explains, a powerful tool has emerged to reshape the way we manage our roads: big data.
  • Toyota puts $1bn into ride-hailing service Grab
    June 15, 2018
    Toyota Motor Corporation is investing $1 billion in Grab Holdings, the Singapore-based ride-hailing platform provider. Grab, which has merged with Uber in south-east Asia, offers services which use a variety of transport modes, from bicycles and shuttle buses to cars and taxis. The companies say Toyota’s investment means they will also “strengthen and expand their existing collaboration in the area of connected cars, to drive the adoption of new mobility solutions across south-east Asia”.