Skip to main content

Mazda develops system to avoid car-streetcar collisions

The University of Tokyo and Mazda Motor Corporation have jointly developed a system involving wireless communications technology to prevent collisions between cars and streetcars (or trams). The system’s car-mounted sensors can detect signals from a streetcar up to 100 metres away, in contrast with the current range of just a few dozen metres for conventional sensors on cars. The new system is designed to prevent collisions between vehicles and oncoming streetcars by allowing their position and direction
September 5, 2013 Read time: 1 min
The 5315 University of Tokyo and 1844 Mazda Motor Corporation have jointly developed a system involving wireless communications technology to prevent collisions between cars and streetcars (or trams).

The system’s car-mounted sensors can detect signals from a streetcar up to 100 metres away, in contrast with the current range of just a few dozen metres for conventional sensors on cars. The new system is designed to prevent collisions between vehicles and oncoming streetcars by allowing their position and direction to be automatically monitored, according to the university.

The experimental ASV-5 version of Mazda’s Atenza sedan will be deployed for trials in Hiroshima. Streetcars, which are used by around 150,000 people per day in Hiroshima, form an essential part of the city’s public transportation system.

For more information on companies in this article

Related Content

  • Ertico partners in step for Europe-wide cooperative traffic systems
    December 5, 2012
    According to Ertico, the future of traffic management on urban and inter-urban networks will rely on direct communication and interaction between vehicles and the infrastructure, using new technologies called cooperative intelligent transport systems (C-ITS) that support real-time exchange of traffic data. This cooperation can enable a wide range of applications such as vehicle-sourced data collection, green light and speed advice, automated hazard detection, selective vehicle priority, dynamic city logisti
  • Russia solution digitises city traffic
    May 25, 2021
    Moscow-based Urbantech's mobile laboratories use machine vision and Lidars
  • Sign language reduces human error says Clearview
    September 26, 2019
    Wrong-way warning systems and advanced queue detection can help to reduce human error. They can also cut road accidents – and therefore road deaths, says Clearview Intelligence Where were nearly 1,800 deaths on the UK’s roads in 2018 – an average of five people dying each day. The largest single cause of serious injury is crashes at junctions (accounting for 33% of incidents), while the largest single cause of death was run-off road crashes (30%) “With vehicles increasingly being designed with saf
  • Travel information is heading towards smartphones
    January 30, 2012
    Travel information services are undergoing a step change as rapid increase in sales of smartphones brings ITS technology to consumers' fingertips. A virtuous circle of expanding capability is under way in traffic and travel information services, promising much for drivers and reduction of road congestion. A recent rapid rise in sales of smartphones has boosted numbers of vehicles carrying GPS enabled devices and so brought expansion of traffic data available for analysis and dissemination. Greater numbers o