人工智能遇上交通燈 交通堵塞或成歷史
'Smart' junctions fitted with AI technology will react automatically to heavy congestion
Groundbreaking new traffic lights fitted with artificial intelligence could create safer roads and bring an end to rush hour gridlock.
開創性的人工智能交通燈將為行人創造更為安全的道路環境,使路況高峰期的交通擁堵不再發生.
'Smart' traffic lights will monitor speed and congestion, prioritise cyclists, buses and ambulances with green lights and use heatmaps to analyse how pedestrians and motorists are using the roads.
智能交通燈可以檢測車流速度及道路堵塞狀況,為騎行者、公交車和救護車"開放綠燈",并通過熱圖分析行人與汽車駕駛員的道路使用情況.
Milton Keynes is set to be the first city to trial the £3 million project from September, with 2,500 sensors monitoring all major junction points and car parking spaces.
從九月份起,米爾頓凱恩斯將成為首個試行這項投資300萬英鎊項目的城市.全市最主要的十字路口及停車區域總計安裝了2500個感應監測器.
The monitors recognise different vehicles and individual road users and will be able to regulate traffic in real-time.
監測儀可以識別不同的車型和行人,從而實時調節交通.
At present, traffic lights are sequenced but not reactive to the vehicles around them and traffic monitoring is still done manually.
目前,交通燈都是編碼排序,但無法對附近車輛做出反應.交通監測依然由人工完成.
Cameras will also allow traffic lights to prioritise cyclists, buses or ambulances with green lights.
智能交通系統中的攝像頭可以使交通燈優先放行騎行者、公交車或者救護車.
Vehicle dashboards that communicate with traffic lights could also flag the presence of cyclists to lorry drivers.
能接收交通燈信號的汽車儀表盤可以提醒貨車司機有行人經過.
The technology could also enable traffic lights to communicate with driverless cars around the corner and inform them if pedestrians are crossing the road.
該技術也可以讓紅綠燈向正在轉彎的無人駕駛車發送信號,告訴它們是否有行人正在過馬路.
Vivacity Labs, which created the technology, has now secured a £1.7m project grant to roll out a city-wide sensor network.
這項技術由"生機實驗室"研發.該實驗室目前已獲得170萬英鎊的資金支持,正在準備架設覆蓋全市的感應網絡.
Yang Lu, Chief Technology Officer at Vivacity Labs said: 'There is very limited intelligence to the current management of urban roads.
"生機實驗室"首席技術官楊路（音譯）說："在目前的城市道路管理系統中,智能技術的運用非常有限."
'By introducing AI into the camera itself, Vivacity Labs has created a system that accurately identifies and reports road usage, removing the need for cumbersome manual interpretation and significantly reducing the potential for human error.
"'生機實驗室'將人工智能技術運用到攝像頭中,創造出一個可以準確識別和上報道路使用情況的系統,取代了先前繁瑣的人工監測流程,大大地降低了人為錯誤出現的可能."
This lays the groundwork for the smart city of the future, using data flows to guide driverless vehicles to their destination with minimal congestion.
這項技術為未來的智能城市奠定了堅實的基礎.通過數據流的指引,無人駕駛汽車將暢通無阻地直達目的地.
'It also improves traffic today as it can be linked with existing management systems to keep vulnerable road users, such as cyclists, safe by giving priority at lights, or alter signs to direct traffic away from congestion.'
"該技術也可以改善當今的交通狀況.它可以和現存的管理系統聯系起來,通過優先放行保證一些較易受傷的道路使用者的安全,如騎行者.它也可以通過改變標識信號的方式疏通堵塞的交通."
英文來源：每日郵報
