基于多源轨迹数据的旧城区过境交通需求分析——以厦门市鹭江道为例

Cross-Bound Traffic Volume Forecast for Old District Based on Multi-Source Trajectory Data——Taking Lujiang Avenue of Xiamen as an Example

过境交通需求分析是论证通道建设、改善交通组织等工作的依据。利用传统“四阶段”法模型预测过境交通需求存在较大误差且结果难以用实证数据直接验证。该文利用多源轨迹数据将多种车辆的路径还原,通过PTV Visum软件蛛网分析功能剥离过境交通量。以厦门市鹭江道为例,验证了该方法的可行性和有效性。对于旧城区过境交通需求分析具有一定的启发意义。

Cross-boundary traffic volume forecast is the basis for evaluating the scale of new roads or improving traffic organization.Some errors exist in crossboundary traffic volume forecast with four-step traffic demand forecast model.Cross-boundary traffic volume is extracted from trajectory restoration of multisource trajectory data by flow bundle of PTV Visum.The model is applied in Lujiang Avenue of Xiamen to check the feasibility and validity of the established model.The research is helpful for cross-boundary traffic volume forecast in old district.