The invention discloses a traffic jam control method based on oversampling GPS data, and relates to the technical field of traffic jam control, and the method comprises the following steps: collecting urban traffic historical data during an activity; the method comprises the following steps of: preprocessing collected urban traffic historical data, simulating a vehicle flow during an activity based on oversampling, and performing data processing by using a Grehilz speed-density linear model to obtain vehicle GPS track data; inputting the GPS track data of the vehicle into a grid traffic jam identification model, and carrying out the identification of grid traffic jam; and based on an identification result, performing index evaluation on different original traffic jam control methods by using a VISSIM simulation model, and selecting a plan of an optimal traffic jam control method to realize traffic jam control based on oversampling GPS data. The problems that an existing method has limitation, data collection cost is high, calculation difficulty is large, and dense traffic flow acquisition or real-time traffic jam area analysis is difficult to achieve are solved.
本发明公开了一种基于过抽样GPS数据的交通拥堵控制方法,涉及交通拥堵控制技术领域,包括以下步骤:采集活动期间的城市交通历史数据;对采集的城市交通历史数据进行预处理,基于过采样模拟活动期间车辆流,并利用格林希尔茨速度‑密度线性模型进行数据处理,获得车辆GPS轨迹数据;将车辆GPS轨迹数据输入网格交通拥堵识别模型,进行网格交通拥堵的识别;基于识别结果,利用VISSIM仿真模型对原有的不同交通拥堵控制方法进行指标评判,选取最优交通拥堵控制方法的预案,实现基于过抽样GPS数据的交通拥堵控制。本发明解决了现有方法存在局限性、数据收集成本高、计算难度大,难以做到密集交通流获取或者实时交通拥堵区域分析的问题。
Traffic jam control method based on oversampling GPS data
一种基于过抽样GPS数据的交通拥堵控制方法
2025-01-24
Patent
Electronic Resource
Chinese
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