摘要
交通规划研究需要大量的交通数据支持,传统交通数据通过人工问卷和调查获得,特点是调查周期长、成本高、数据质量难以控制。随着信息化快速发展,结合智能交通采集的动态交通数据将是未来交通规划决策支持的重要领域。根据动态交通信息在深圳的轨道客流预测、常规公交模型、道路运行评估、主动交通管理等领域的应用实践,表明动态交通信息引入,将有效提高交通规划决策水平。
Transport planning requires lots of traffic data.Traditional traffic data are obtained through manual questionnaires and surveys,whose periods,costs,and quality of the data are difficult to control.With the rapid development of information technology,dynamic traffic data with the intelligent transportation acquisition is an important field for future transport planning decision support.This paper introduces the ridership forecast based on dynamic traffic information,bus model,roadway operation evaluation and traffic congestion management in Shenzhen.The practices indicate that the introduction of dynamic traffic information can effectively improve the transportation planning decision-making level.
出处
《交通信息与安全》
2013年第4期101-107,共7页
Journal of Transport Information and Safety
关键词
动态交通信息
交通规划
交通模型
客流预测
道路运行评估
dynamic traffic information
transport planning
traffic model
ridership forecast
roadway operation evaluation
