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《城市交通》杂志
2016年 第3期
武汉市公共交通信息系统建设与应用
点击量:1868

文章编号: 1672-5328(2016)03-0081-07

王冠,陈华,李建忠,孙贻璐
(武汉市交通发展战略研究院,湖北武汉430017)

摘要: 全方位掌握公共交通运行现状和精确预测客流变化趋势是城市公共交通规划研究的重要前 提,其时效性和准确性不仅关系到信息发布,还对预测模型的精度产生直接影响。为有效服务政府 决策并科学指导公众智慧出行,运用智能化手段建立公共交通信息系统,其具有线网性能分析、客 流监控预测、运行状态评估等功能。在整合武汉市公共交通信息资源的基础上,公共交通信息系统 建立时空匹配算法判断乘客上车位置,通过车站吸引强度以及出行链模型模拟乘客下车站点,建立 基于动态信息的公交运行评价指标体系等。抽样调查结果表明系统性能达到预期要求。同时,探索 运用系统各项量化指标服务于城市公共交通线网优化调整、换乘优惠政策制定以及日常运营管理, 为创建公交都市示范城市,落实公交优先发展战略提供技术支撑。

关键词: 公共交通;智能交通系统;客流模型;评价指标;线网优化调整;武汉市

中图分类号: U491

文献标识码:A

Development and Application of Wuhan Public Transit Information System

Wang Guan, Chen Hua, Li Jianzhong, Sun Yilu
(Wuhan Transportation Development Strategy Research Institute,Wuhan Hubei 430017, China)

Abstract: Comprehensively understanding current statues and accurately forecast trends of public transit passenger volume are important prerequisite for urban transportation planning. The timeliness and precision not only affect information release, but also determine the accuracy of forecasting model. In order to better support government decision-making and develop a smart traveling system, the elements of public transit information system should include network performance analysis, passenger patronage monitoring and forecasting, operation status evaluation, and so on. This paper demonstrates Wuhan’s efforts in developing public transit information system using Space-Time matching algorithm to infer boarding locations and using ABM philosophy to infer alighting locations. Survey results indicate that the proposed system can offer the qualified estimations. Additionally, the paper also explores to apply the quantitative indicators generated from this system to optimize the urban public transit network, study transfer policies and manage daily operation to some extent. Those attempts are further regarded as active efforts in building a public transit metropolis and implementing public transit priority development strategy.

Keywords: public transit; intelligent transportation system; passenger flow model; evaluation index; network optimization;Wuhan