大数据时代的交通工程  

Transportation Engineering in the Big Data Era

作　　者：王璞[1] 黄智仁 龚航[1] 

机构地区：[1]中南大学交通运输工程学院,长沙410075 [2]中南大学软件学院,长沙410075

出　　处：《电子科技大学学报》2013年第6期806-816,共11页Journal of University of Electronic Science and Technology of China

基　　金：国家自然科学基金(51208520)

摘　　要：面向当代严重的交通拥堵,交通规划与组织水平受到人们的广泛关注,交通需求作为交通规划与组织的重要基础数据,其获取方法一直以来都是非常重要的研究课题。进入大数据时代,复杂网络与人类出行研究领域快速发展,为交通需求预测与交通网络优化提供了崭新途径。该文综述人类出行与交通网络研究方向的重要成果,展望这些成果为交通工程带来的契机,并介绍两个方向的最新交叉研究。Faced with severe traffic congestions, the level of traffic planning and organization has been paid much attention. As a crucial and fundamental data for traffic planning and traffic organization, travel demand has been an important research topic for a long time. Stepping into the big data era, the fast developments in the research fields of human mobility and complex network offer new methodologies for predicting travel demand and improving transportation networks. In this paper, we review the important works in the areas of human mobility and transportation network, discuss the potential opportunities which bring to transportation engineering, and f＇mally introduce a new interdisciplinary study of the two research areas.

关 键 词：大数据 人类出行特性与建模 交通网络 交通工程 

分 类 号：N94[自然科学总论—系统科学]