A new function has been developed that automatically stops when a truck detects a bicycle or the like at an intersection.
It is expected to lead to a reduction in so-called entanglement accidents.
Development of new functions for trucks Expected to reduce accidents involving
This feature was developed by commercial vehicle manufacturer Mitsubishi Fuso Truck and Bus and introduced in a new truck launched last week.
The feature is that the sensor detects not only the situation in front of the car but also the situation on the left side, and even though there is a bicycle or motorcycle right next to it, it emits an alarm sound when turning the steering wheel to the left or issuing a turn signal. I will let you know.
And if you get closer, the car will stop automatically.
The company wants to use this function to prevent accidents involving people turning left, and according to the Ministry of Land, Infrastructure, Transport and Tourism, it is the first time in Japan that a truck with such a function is on the market.
According to the summary of the Japan Trucking Association, there were 51 accidents in which a truck hit a person at an intersection and died last year, of which 19 were when turning left, which is more than when turning right or going straight.
Hironobu Ando, General Manager of Development Division of Mitsubishi Fuso Truck and Bus, said, "Large and heavy trucks can cause enormous damage once an accident occurs. We will continue to work to reduce the damage and reduce the accident itself. I will pour it. "
Mandatory device that sounds an alarm when turning left
The Ministry of Land, Infrastructure, Transport and Tourism has reviewed the safety standards for vehicles because there are no end to accidents involving trucks when turning left.
From May next year, it will be mandatory for new models of trucks of 8 tons or more to be equipped with a device that notifies with a warning sound when a bicycle approaches the vehicle when turning left.
Furthermore, from May 2024, it will be applied to all new trucks.Keywords: