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 address the diversified analysis requirements of intelligent transportation services, a transportation big data analysis algorithm library is constructed. It provides 16 categories of analytical algorithm models tailored for segmented businesses in urban transportation, public transit, taxis, traffic management, and maritime transportation, including: road traffic flow forecasting, transportation capacity and traffic volume forecasting, vehicle profile recognition, trajectory correction, data anomaly detection, regional taxi demand forecasting, taxi ride-sharing and ride-hailing matching algorithms, regional taxi fare adjustment, traffic accident analysis and assessment, traffic police incident perception and early warning, intelligent police dispatching, offshore fishing vessel production activity analysis, and offshore fishing vessel illegal behavior analysis. Corresponding algorithm analysis interfaces can be provided based on actual business demands.

搜集汇总

背景与挑战

背景概述

该数据集提供企业抽查检查信息，适用于企业风控领域，每日更新，覆盖全国，存储大小为3 TB，数据维度为15。