交通大数据分析算法

应对各类智能化交通业务分析需求，构建交通大数据分析算法库。提供面向城市交通运输、公交、出租、交管、海洋交通领域细分业务的16类分析算法模型，包括：道路流量、运力运量预测、车辆画像识别、轨迹纠偏、数据异常检测、区域出租需求量预测、出租合乘召车匹配算法、区域运价调整、交通事故分析研判、交通警情感知预警及科学派警、海上渔船生产活动分析、海上渔船违法行为分析等。可根据实际业务需求提供对应的算法分析接口。

To meet the analysis demands of diverse intelligent transportation business scenarios, a transportation big data analytics algorithm library is developed. It provides 16 types of analytical algorithm models targeting segmented businesses in the fields of urban transportation, public transit, taxi services, traffic management, and marine transportation, including: road traffic flow analysis, transport capacity and volume forecasting, vehicle profile recognition, trajectory correction, data anomaly detection, regional taxi demand forecasting, ride-sharing taxi booking matching algorithm, regional taxi fare adjustment, traffic accident analysis and assessment, traffic police incident perception, early warning and scientific dispatching, offshore fishing vessel production activity analysis, and offshore fishing vessel violation analysis. Corresponding algorithm analysis interfaces can be provided based on actual business requirements.

搜集汇总

背景与挑战

背景概述

该数据集是一个交通大数据分析算法库，提供16类针对城市交通运输、公交、出租等领域的分析算法模型，每日更新，数据存储量为10 TB，适用于区域范围的交通运输和城市治理场景。