Intelligent information control has achieved remarkable results, and Guangzhou Huangpu has created a new pattern of social governance with co-construction, co-governance and sharing

The average delay of vehicles at intersections has dropped by 20%, the average travel time on main roads has dropped by 25%, and the time for each tram trip has been saved by about 28%... With the combination of scientific government management and artificial intelligence technology, more and more traffic intersections in Guangzhou Huangpu are gradually being AI-ized, greatly improving the travel efficiency of citizens. Under the guidance of the concept of co-construction, co-governance and sharing, Guangzhou Huangpu is exploring a new path for traffic governance.

At present, new infrastructure and smart transportation have become important directions for local governments to accelerate the intelligent transformation of cities. In August 2020, Guangzhou Development Zone in Huangpu District, Guangzhou City and Baidu Apollo reached a cooperation on the "Smart Transportation 'New Infrastructure' Project for Autonomous Driving and Vehicle-Road Collaboration", with a total amount of 460 million yuan.

In the past year, relying on Baidu's intelligent traffic solutions, the Guangzhou Huangpu Traffic Police Brigade has carried out adaptive control upgrades on traffic lights in the Science City and Knowledge City areas, and has achieved outstanding results in traffic management optimization and public transportation optimization:

l The number of adaptive intersections within the Science City and Knowledge City projects accounted for 57%, the average vehicle delay at intersections decreased by about 20%, and the waste of green lights was reduced by about 21%.

l “Dynamic green wave” traffic is implemented in the main traffic direction of 6 trunk roads, including Kaichuang Avenue, Kaitai Avenue, Kexue Avenue, Kexiang Road, Chuangxin Avenue and Jiulong Avenue, and the average travel time is reduced by 25%.

The Huangpu Tram Line 1 trains have implemented intelligent signal priority, which allows the trams to pass through intersections as soon as the green light comes on, saving an average of about 45 seconds each time and about 28% of the travel time per trip.

(Visual display of intelligent timing at intersections in Huangpu District)

Intelligent timing technology alleviates traffic jams and traffic management is flourishing in many areas

Since the project was launched, there are 32 adaptive signal control intersections within the scope of the Huangpu District Science City and Knowledge City projects, accounting for 57%. In the future, the full-area intelligent signal control optimization will be gradually realized. In principle, this intelligent signal control system can use roadside equipment to perceive changes in traffic flow at intersections, and integrate Baidu Maps traffic big data, apply AI algorithm engines, and automatically optimize the timing of intersection traffic lights.

This intelligent signal control system can handle both macro traffic situation perception and micro intersection traffic diagnosis. Simply put, this system not only provides a pair of "clairvoyant eyes" for Huangpu traffic intersection, but also provides a real "smart brain" for easing congestion and improving efficiency. It monitors and diagnoses traffic conditions in real time at the three spatial levels of region, road, and intersection, and can also provide cause analysis, optimization strategies and solutions, and evaluation methods for congestion management.

(Regional traffic situation analysis, i.e. trend analysis of historical congestion data in the region, support for year-on-year and month-on-month and trend analysis of urban congestion index, congestion mileage, and average speed)

(Road traffic situation assessment, i.e., analysis of the congestion trend of the road section's historical congestion situation, and support for analysis of frequently congested periods.)

(Intersection traffic situation analysis: trend analysis of historical intersection saturation, traffic flow, average vehicle delay, and queue length, while supporting the identification of oversaturated intersections and unbalanced intersections and real-time monitoring)

Baidu's intelligent signal control system can provide flexible implementation solutions for intersections with different characteristics. For single-point intersection scenarios, adaptive intelligent upgrades can greatly reduce the number of empty green lights, shorten the waiting time for traffic, and avoid the situation where there are no vehicles on the road but the traffic lights are still continuously released. For multiple consecutive intersections on the main road, Baidu's intelligent signal control solution can ensure that under different traffic conditions, the main traffic direction can pass through the intersections along the road without stopping or with less stopping, which is commonly known as "green wave passage."

(Intelligent optimization of traffic light timing at intersections)

As a result, the intelligent signal control system that "uses both eyes and brain" has enabled the Huangpu District Traffic Police Brigade to achieve many results in traffic congestion control and relief. In terms of efficiency improvement, statistics show that the average number of optimizations per day has reached more than 3,600 times, the average delay of vehicles at intersections has decreased by about 20%, and the time wasted by leaving green lights idly has decreased by about 21%.

In terms of improving driving experience, six main roads, including Kaichuang Avenue, Kaitai Avenue, Kexue Avenue, Kexiang Road, Chuangxin Avenue and Jiulong Avenue, can implement dynamic green wave control strategies, allowing drivers to effectively reduce the time vehicles wait for red lights and accurately hit the "green light beat".

It is understood that since the implementation of the dynamic green wave strategy, the average travel time of the six roads has dropped by 25%, and the average number of stops at red lights has dropped from 3-4 times to 0-1 times. Among them, Kaitai Avenue has achieved green lights all the way through 12 intersections from east to west.

(Kaitai Avenue (Lanyue Road-Kaiyuan Avenue video)

Special optimization of public transportation to improve the utilization rate of urban transportation resources

Public transportation is a high-priority and high-pressure transportation option for most citizens, and it is also a transportation issue that every city needs to address. In Huangpu, Guangzhou, trams are a relatively new means of transportation that have "closed" and "exclusive" requirements for operating conditions. At the same time, due to the large number of tram stops, it is difficult to increase the speed, and citizens often complain about the operating efficiency of trams.

To this end, the Huangpu District Government and Baidu Apollo will both regard improving the efficiency of public transportation, especially trams, as a key task of their cooperation. How to minimize the impact on existing traffic while ensuring traffic safety and at the same time ensuring the operating efficiency of trams is not only an important work direction for improving the traffic capacity of roads along the tram lines.

(Diagram of control logic of the intelligent priority system of Huangpu Tram Line 1)

After fully considering the key factors such as Huangpu tram traffic conditions, signal control strategies and traffic safety, the Huangpu Traffic Police Brigade and Baidu have carried out in-depth cooperation and established a tram intelligent priority system according to local conditions. Through the vehicle-road cooperative roadside equipment and Baidu Maps, the intersection signal lights and tram operation status are monitored in real time, and the traffic conditions at the intersection are perceived in real time. The priority of trams is decided based on this, so that trams can pass through the intersection with green lights as much as possible, effectively improving the coordination ability between trams and urban road traffic.

At present, all 25 traffic light intersections where the tram line 1 in Huangpu District passes have realized tram priority. In the "new infrastructure" project, 10 intersections on Xiangxue Avenue have also started intelligent priority. Since the system was launched, the average number of tram priority passages per day has reached more than 1,200 times, and the average daily train passing through the intersection has saved a total of 15 hours, helping to shorten the average tram travel time from 56 minutes to 40 minutes, saving about 28% of the travel time per trip, and truly implementing the public transportation priority strategy in terms of time dimension.

Now, the travel efficiency of Huangpu District residents on trams has been significantly improved, and the Huangpu District Government's service attitude of paying attention to the opinions of the masses and solving problems in a timely manner has also won widespread praise from the citizens. It can be said that the intelligent traffic management work in Huangpu District has not only unblocked the main traffic arteries, but also invisibly opened up the minds of the citizens.

(Tram Intelligent Priority System)

Guangzhou model, Huangpu takes the lead. As the "vanguard" of Guangzhou's intelligent transportation innovation and development, the Huangpu Traffic Police Brigade "solves immediate concerns and plans for the long term", constantly exploring and applying new means and technologies to improve traffic efficiency, cheering for the welfare of the people, allowing citizens to share the results of new infrastructure, and creating a new social governance pattern of co-construction, co-governance and sharing. As a major driving force, Baidu Intelligent Transportation will continue to work hand in hand with Guangzhou Huangpu to deepen traffic efficiency topics such as intelligent timing and public transportation priority, and continuously promote technological innovation to respond to the growing demand for transportation, and contribute to the people's livelihood project of transportation!

As a winner of Toutiao's Qingyun Plan and Baijiahao's Bai+ Plan, the 2019 Baidu Digital Author of the Year, the Baijiahao's Most Popular Author in the Technology Field, the 2019 Sogou Technology and Culture Author, and the 2021 Baijiahao Quarterly Influential Creator, he has won many awards, including the 2013 Sohu Best Industry Media Person, the 2015 China New Media Entrepreneurship Competition Beijing Third Place, the 2015 Guangmang Experience Award, the 2015 China New Media Entrepreneurship Competition Finals Third Place, and the 2018 Baidu Dynamic Annual Powerful Celebrity.