Alibaba and Sena to develop traffic management solution in Malaysia

Cloud computing company Alibaba Cloud has partnered with Sena Traffic Systems to build smart traffic system in Malaysia which it claims could reduce travel time by 12%. Selina Yuan, president of Alibaba, says: "The smart traffic solution will constantly learn and adapt to changing traffic environments, making the traffic management system a smart learning platform and no longer just an analytic tool." Alibaba is to provide its cloud computing resources and City Brain, a solution which uses real-time c
June 3, 2019 Read time: 2 mins

Cloud computing company Alibaba Cloud has partnered with Sena Traffic Systems to build smart traffic system in Malaysia which it claims could reduce travel time by 12%.

Selina Yuan, president of Alibaba, says: "The smart traffic solution will constantly learn and adapt to changing traffic environments, making the traffic management system a smart learning platform and no longer just an analytic tool."

Alibaba is to provide its cloud computing resources and City Brain, a solution which uses real-time city data to help correct defects in urban operations. Sena, a smart traffic system controller, will be responsible for the design and development of traffic light systems and the installation of its patented algorithm for the city traffic light system

Dato’ Tan Boon Hock, managing director of Sena, says the partners are “looking at exploring developments in several intelligent digital platforms for urban management systems such as street furniture controllers, IoT and smart city enterprise management together”.

Urban Traffic Control

Related Content

  • Alan Turing Institute and Toyota to modernise traffic management
    June 11, 2018
    The UK’s Alan Turing Institute and the Toyota Mobility Foundation are partnering in an 18-month project which they say is intended to modernise traffic management. They will collaborate with data providers and government managers to look at the way cities could run in future. Potential outcomes include the integration of an artificial intelligence (AI) system for traffic control, a platform for interactive data manipulation to monitor traffic behaviour and developing mechanisms for fleet operators and ci
    Read More
  • An innovation lab – not a burden
    June 27, 2018
    Travellers want to be able to book multimodal journeys easily – and to be informed of problems and alternatives as they go. Adam Roark might just be able to help, finds Ben Spencer. The global shift in transportation towards members of the public wanting access to multimodal journeys is rapidly changing how people pay and plan ahead. Buying tickets from a machine and dealing with the frustration of discovering your train is cancelled is a scenario commuters want to avoid through technology’s ability to
    Read More
  • Aimsun enters partnership to develop tool for managing mixed-autonomy traffic
    January 15, 2019
    Aimsun has partnered with UC Berkeley’s Institute of Transportation Studies to develop Flow, a tool for managing large-scale traffic systems where human-driven and autonomous vehicles (AVs) operate together. Flow offers a suite of pre-built traffic scenarios and is now integrated with Aimsun Next mobility modelling software. The open source architecture knits together microsimulation tools with deep reinforcement learning libraries in the cloud. Launched last September, Flow allows users to build and
    Read More
  • Wellington embraces smart parking solution
    February 22, 2018
    A smart parking solution can ease pain for drivers and increase efficiency for local authorities - and New Zealand’s capital is feeling the benefit. Adam Hill reports. ITS technology has the power to ease headaches for local authorities and car drivers alike when it comes to parking. For urban dwellers, few things are more irritating than driving slowly around crowded city centre streets, anxiously searching for a parking space – indeed, in congested downtown areas, as much as 30% of traffic can be driving
    Read More

Highlighted Content