基于浮动车技术的城市交通评价预测系统应用研究  

Research on the Application of Urban Traffic Evaluation and Prediction System by Floating Cars

作　　者：杨阳 王芳[2] 

机构地区：[1]南宁市城乡规划设计研究院,南宁530004 [2]广西城乡规划设计院,南宁530022

出　　处：《交通与运输》2016年第A01期114-117,共4页Traffic & Transportation

摘　　要：本文采用南宁市出租车GPS系统进行数据采集,基于浮动车数据对交通运行进行实时评价及预测。本次研究建立了车速-拥堵值评价标准,以此对实时路况进行交通运行状态判别,同时基于浮动车采集的历史数据采用Lasso算法选取六个特征值进行模型训练,以进行道路交通拥堵预测。现状南宁城区路网浮动车覆盖率达近90%,该系统运行具有采集样本全面、评价及预测数据准确且实时更新的特点。This paper uses the taxi GPS system for data collection, based on floating cars for urban traffic real-time evaluation and prediction. This research established the speed - congestion value evaluation standard, in order to discriminant traffic real- time state. At the same time, selects six characteristic value model based on floating car collecting historical data uses the algorithm of Lasso training for road traffic prediction. At present, the situation of Nanning city road network coverage of floating car is nearly 90%, the system is not only running by full samples, evaluates and forecasts accurately, but also updates real-time.

关 键 词：浮动车数据 评价标准 实时判别 交通预测 

分 类 号：U491[交通运输工程—交通运输规划与管理]