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Chapter 13 - Conclusions
Pages 79-80

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From page 79...
... Automatic data collection can revolutionize schedule planning and operations quality monitoring as agencies shift from methods constrained by data scarcity to methods that take advantage of data abundance. The large sample sizes afforded by automatic data collection allow analyses that focus on extreme values, which matter for schedule planning (e.g., how much running time and recovery time are needed, what headway is needed to prevent overloads)
From page 80...
... Such a data structure, called the "virtual route,"was developed in TriTAPT; it permits analysts to see, for example, headway analysis and passenger load profiles on trunks shared by multiple routes and patterns. The development of AVL-APC data collection and analysis capability poses numerous organization challenges.


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