Shulou(Shulou.com)11/24 Report--

Recently, in the public security traffic management big data modeling application competition organized by the Traffic Administration of Jiangxi Public Security Bureau, Nanchang Honggutan traffic police brigade's work "Inductive Green Wave Adaptive signal Control Model based on Traffic flow Prediction" stood out from 47 teams in each urban area, and won the first prize on behalf of Nanchang Traffic Administration. The model is built with the help of Hisense intelligent transportation team, which significantly improves the real-time performance and accuracy of traffic flow prediction, and provides a strong data support for adaptive signal control. The award is also the recognition and affirmation of the technical strength of Hisense intelligent transportation.

In order to further enhance the level of innovation in the application of scientific and technological information in the traffic police system of the province, and better serve the special action of the year of "reduction and control" and "three uniform" year of road traffic accident prevention, the Traffic Management Bureau of Jiangxi Public Security Department launched a public security traffic management big data modeling application competition. Nanchang Honggutan traffic police brigade participated in the competition as the representative of Nanchang Traffic Administration, and Hisense Honggudan signal tuning team provided assistance. It took only one week to efficiently complete the entry "Inductive Green Wave Adaptive signal Control Model based on Traffic flow Prediction".

Aiming at the problem that the current adaptive signal control mostly focuses on the optimal control of single intersection, and the research on cooperative control of multi-intersection signal is insufficient, this model puts forward an inductive green wave adaptive control method, which predicts and analyzes the traffic flow data. the phase green signal ratio is dynamically adjusted without destroying the original green wave to realize the adaptive optimization of multi-intersection under the coordination scheme, reduce green loss and improve traffic efficiency.

The effect of the model is remarkable after it is put into practical application. Take Fenghuang North Avenue (Xiangjiang Road-Changjiang Road) in Honggutan District as an example, the total length of the road section is 1.8km, and there are 6 signal-controlled intersections along the way, so the flow fluctuates greatly. The original periodic coordination scheme consumes 1 man for a month of continuous monitoring and optimization, the effect can not adapt to the change of flow, and there is an imbalance problem that the main road is congested and the branches are empty. By reusing the built traffic detector, it takes only one manual day to configure the basic parameters of the inductive green wave adaptive scheme, and the signal period and the green signal ratio of each phase are automatically adjusted with the change of the flow. greatly improve the efficiency and ensure the effect.

After optimization, the whole-day congestion index of this section is reduced by an average of 7.3%, and the green loss is reduced by an average of 6s, which has significant advantages such as high efficiency, easy promotion and multiple effects, which provides a strong support for improving the intelligent and refined level of road traffic governance in Nanchang City. at the same time, it also stood out in the public security traffic management big data modeling application competition, won high praise from leaders and parties, and successfully won the first prize in the province.

As a "behind-the-scenes force", Hisense intelligent transportation team lived up to expectations and went all out. From receiving the notice of the competition to the official start of the competition, the Hisense team has only one week to prepare. Faced with the difficulties of tight time, strict standards and high requirements for innovation, the Hisense intelligent transportation team responded quickly and formulated an effective work plan. Signal tuning engineers Li Zhibin and Li Fengmei immediately reported to customers the good optimization results achieved by the recent Honggutan area under the enabling of Hisense intelligent tuning platform. At the same time, pay close attention to the purport of the construction of "smooth Nanchang", cooperate with the information-based participating police, provide the project direction and modeling ideas for the participants, and design the traffic flow prediction modeling algorithm model around the data source of adaptive control. the inductive green wave adaptive signal control model based on traffic flow prediction is completed efficiently.

On August 4, Honggutan Battalion, Traffic Administration Bureau of Nanchang Public Security Bureau, sent a letter of appreciation. The letter praised the professional skills and highly responsible work attitude of the Hisense signal tuning team, especially mentioned that the Hisense team "gave full play to Hisense's scientific research and innovation ability, talent training ability and professional and technical expertise. It reflects the advantages of cooperation between police and enterprises, and has won high praise from leaders and all parties."

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