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Spatio-temporal Network-Constrained Trajectory Data Model and Service Reliability Assessment

机译:时空网络约束的轨迹数据模型与服务可靠性评估

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摘要

Due to urbanization and increase in traffic density, provision of efficient public transport facility is a major component of planning and development. The spatio-temporal data of vehicles' movement have mainly led to mobility pattern analysis, which eventually reveal new information about the efficiency of transport service. This research focuses on extracting mobility patterns of bus service for students in Lahore City. Trajectory data collected through GPS survey have been processed by using MYSQL spatial database applications and HTML to identify areas in entire route of bus service causing delay. Three different types of delay have been calculated, namely stop delay, simple path delay, and path repeated delay. The entire analysis results reveal that mainly the delay is caused at start segments of planned route or the last segment of stop route. The major cause of delay is bus movement on tertiary roads through congested commercial areas.
机译:由于城市化和交通密度的增加,提供有效的公共交通设施是规划和发展的重要组成部分。车辆运动的时空数据主要导致了流动性模式分析,最终揭示了有关运输服务效率的新信息。这项研究的重点是提取拉合尔市学生的公交服务出行方式。通过GPS调查收集的轨迹数据已通过使用MYSQL空间数据库应用程序和HTML处理,以识别整个公交服务路线中引起延迟的区域。已计算出三种不同类型的延迟,即停止延迟,简单路径延迟和路径重复延迟。整个分析结果表明,延迟主要是由于计划路线的起点或终点路线的最后一段引起的。延误的主要原因是公交车在拥挤的商业区中在三级公路上行驶。

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