Artificial intelligence and cloud computing are driving the development of intelligent transportation. Alibaba’s AutoNavi Map revealed at the “Internet + Urban Traffic Management Innovation†forum held last week that the traffic lights at as many as 143 intersections in Zhongshan City, Guangdong have been replaced by new smart traffic lights with “brains†installed. .
The reporter learned that this is the first time that an intelligent transportation solution led by Internet vendors has optimized the overall city since Guangzhou, Beijing, Hangzhou, Jinan and other places. Without exception, the transformation of smart traffic lights is the highlight of this smart traffic revolution. Of course, the huge investment in transformation is also a practical problem that all parties have to face.
The traffic lights in Zhongshan city are under the command of the city brain
In the eyes of most people, traffic lights at intersections generally change traffic signals step by step. What will happen if there is artificial intelligence blessing? The joint experiment of urban brain and smart transportation conducted by Gaode Maps and the research team of Tsinghua University gave the answer.
The reporter learned from AutoNavi Map at the "Internet + Urban Traffic Management Innovation" forum held last week that it regards Zhongshan as the first city in the country to renovate traffic lights and connect all 143 intersections in the city to the city. Brain and intelligent communication. In terms of actual operation, the effect is excellent. Data show that in the first quarter of 2018, the traffic speed in Zhongshan City increased by 5.7% month-on-month, and the number of parking times during driving dropped by 8%. The application of the city brain has greatly increased the traffic efficiency of Zhongshan City.
How do traffic lights that have been "reformed" "live"? The relevant engineers of AutoNavi gave an example. For example, there are five traffic lights on the north-south road, and the most vehicles are waiting at the middle intersection. The city brain globally perceives that this intersection is prone to congestion through cameras and traffic lights, and calculates the congestion duration and length, and then formulates a set of timing optimization strategies based on the idea of ​​global adjustment, extending the green light timing of this intersection, and correspondingly The green light timing of several other intersections is shortened, so the traffic efficiency of congested intersections can be improved, and the waste of green light time resources at other intersections is also saved.
The above-mentioned engineers said that intelligent timing optimization, while dynamically adjusting with changes in traffic flow, realizes real-time and intelligent timing. The adjustment frequency will also be adjusted from the previous unchanged to once in a few hours, or even once in a few minutes. Taking Hangzhou Xiaoshan as an example, it can now be adjusted every 15 minutes.
The cost of comprehensive renovation of multi-region pilot projects in large cities is too high
In fact, according to the reporter's understanding, many large domestic cities have tried artificial intelligence to mobilize traffic lights long before Zhongshan.
In July last year, the Guangzhou Traffic Police piloted an "Internet + signal light" control optimization platform, which combined with AutoNavi Maps to intelligently "command" Guangzhou traffic. In the pilot project in Haizhu District, there was a serious intersection imbalance between Nanhua Middle Road and Baogang Avenue. After optimization, the congestion on Nanhua Middle Road was reduced by 25.75% from 9 am to 13:00, and the congestion dropped by 11.83% from 15:00 to 20 pm.
At the same time, AutoNavi Maps has also optimized the traffic state evaluation and signal light timing schemes of vehicles at several intersections in Beijing based on the data chassis. After actual application, the average delay of motor vehicles passing through the intersection has dropped by 6%, and the parking rate has dropped by 3%. In September last year, with the support of big data from Baidu Maps, some traffic lights in Beijing were connected to the Internet "first trial", and traffic data could be "interoperated in seconds."
In addition, another travel company, Didi, has successively optimized more than 1,300 traffic lights in cities such as Beijing, Jinan, Wuhan and Guiyang.
An industry expert told reporters that although the transformation of traditional traffic lights into smart traffic lights has "a lot of benefits", most of the above-mentioned transformations of smart traffic lights in cities are "partial". At present, limited by the cost of renovation (the renovation of smart signal lights at an intersection requires close to 1 million yuan), it seems unrealistic to comprehensively promote the renovation of smart signal lights in large cities. The consequence of this may be to "allocate the congestion to other road sections."
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