Quality investigation and variability analysis of GPS travel time data in Sydney

Reliable and accurate travel time data can provide valuable performance measures to support operational applications in areas of congestion management and routing analysis. The travel time information is also essential to the calibration and validation of travel demand models in order to better model current and future travel for congested area. Historically, the ability to collect travel time data in sufficient quantity to provide reliable, robust evidence has been severely limited, almost to the point of being unattainable. Indeed, to take it further, any aspirations of addressing travel time variability are almost inconceivable. Recent developments with Global Positioning Systems (GPS) data have shed new light in this field. The ability to collect large volumes of data from GPS devices has provided a wealth of data for use in this area. Such data collected and processed by Intelematics for a large proportion of the Greater Metropolitan strategic road network has been reviewed and analysed to examine time of day and day of week variations in travel times by traffic conditions for individual sections of road. Findings from this research could significantly influence the guidelines, processes and procedures for future model validation.

可靠，准确的旅行时间数据可以提供宝贵的绩效指标，以支持拥塞管理和路由分析领域的操作应用。旅行时间信息对于旅行需求模型的校准和验证也至关重要，以便更好地模拟充血区域的当前和未来旅行。从历史上看，以足够数量的方式收集旅行时间数据以提供可靠，可靠的证据的能力受到严重限制，几乎是无法实现的。确实，要进一步，解决旅行时间可变性的任何愿望几乎是不可想象的。全球定位系统（GPS）数据的最新发展已在该领域开发了新的光线。从GPS设备中收集大量数据的能力为该领域提供了大量数据。已经对Intelematics收集和处理的此类数据已进行了审查和分析，以检查和分析，以检查旅行时间的日常时间和一天中的时间差异。这项研究的结果可能会严重影响未来模型验证的准则，过程和程序。