Cameras will be installed in Bengaluru which are connected to a strong computer network to study the vehicle density and tell signals to change accordingly with this Traffic Management in Bengaluru will enter the artificial intelligence era. There are 387 traffic lights in Bengaluru which will soon use AI and regulate traffic more efficiently, according to B R Ravikanthe Gowda additional commissioner of police(Traffic). The new systems, cameras will be able to study the traffic density and according will decide on how much time to allow the vehicles to clear the signal. Currently, there are only 35 traffic lights or 10% of all the traffic lights are adaptive while others have a fixed time-cycle. The new signals consist of built-in AI units that calculate, network and assess with other signals automatically.
Traffic is set to be banned from a busy road junction in the City as part of safety measures. From Monday, only buses and cyclists will be allowed at Bank Junction from 07:00 to 19:00. City of London Corporation say the scheme will see a 50-60% reduction in casualties and improved air quality. The changes were voted through by the Corporation after 34 cyclists and 31 pedestrians were injured there between 2011 and 2015. In 2015, Ying Tao, a 26-year-old female cyclist, was killed when she was hit by a lorry turning at the junction.
IBM was granted a patent for an AI-powered traffic management system earlier this month. What it is: According to the patent, IBM wants to develop a system for controlling traffic lights that relies on cameras. A computer views real-time footage of traffic in each direction and then calculates the optimum traffic pattern. Why it matters: Have you ever sat at a four-way intersection for three full minutes staring at a red light with a mixture of bewilderment and anger because there isn't another vehicle in sight? We asked IBM Master Inventor Steve Hobson why we couldn't just write better regular non-intelligent programs to fix the traffic light system, he says: I'd say most people who "use" signal-controlled road junctions -- be they motorists, pedestrians, cyclists, or whatever -- would agree that a human observing a junction could help the thing work better.
Working alongside Vivacity Labs, TfGM is hoping that the new smart junctions will help reduce congestion, as well as protecting vulnerable road users such as cyclists and pedestrians. Transport for Greater Manchester (TfGM) and Vivacity Labs have announced the roll out of AI-controlled'smart' traffic junctions to accommodate the increase of active travel modes, such as cycling and walking, in the city during the COVID-19 pandemic. Using sensors with inbuilt artificial intelligence, Vivacity says the new system enables TfGM to anonymously identify different types of road users at selected junctions and control traffic signals to allow different modes of transport to be prioritised as and when required. The traffic data specialist says that "with more cyclists on the road as people avoid public transport, these'smart junctions' will be able to give priority to people on foot or bike where and when appropriate." Vivacity Labs' first AI signal control system first went live early this year, before it was introduced to simultaneously control three neighbouring junctions in the Blackfriars area of Salford in September 2020.
The UK government is waging a war on traffic. Yesterday, it announced plans to open up data on congestion, repair works and any other scheduled disruptions to Britain's road network. To make this data accessible to any technology firm that wants it, enabling such companies to develop AI-powered apps that provide drivers with not only real-time traffic info, but also ahead-of-time info. Traffic is an economic disease, and as a problem it's being made more acute by the growing number of vehicles on the road. In the UK, motorists lost 178 hours to road congestion in 2018, costing £1,317 per person and setting back the UK economy almost £8 billion overall.