If you like, you can install free additional software from PeakHour on other Macs on the network so that they act like network broadcasters within the network, too, and you can monitor their data usage and network response. PeakHour scoffs at the difficulty and lets me pull internet responsiveness stats via this two-deep ISP router as well as from my local network. My network has a dreaded “double NAT” in which my ISP provides one router into which I’ve plugged a second one: the ISP router doesn’t offer all the features I need but has unique firmware support for the fiber network I’m on that most routers lack. PeakHour supports more esoteric configurations, too. The reference tables below are intended to provide a quick and easy way to determine if peak hour measurements being calculated using any traffic data source with known accuracy are likely to be correct.Ĭlick on any volume data error rate below to jump to that section of the article and determine the projected accuracy of your peak hour calculations.PeakHour’s drop-down charts reveal the current and historical state of devices on your network along with other monitoring data. > Download the full white paper here << Your quick reference guide You can download the full white paper to read the entire study, but for those just interested in the results, we provided the resulting lookup tables below for quick reference. The goal of this work is to provide transportation professionals with an understanding of the implications of data inaccuracy levels when evaluating different datasets and applying them to solve use cases including peak hour calculation and others. This means that as we explore the potential of new, emerging datasets as viable alternatives, the peak hours calculated using them need to be reliable. Accurate knowledge (or inaccurate knowledge) of the peak hour can have far reaching implications when it comes to traffic management. The Highway Capacity Manual makes use of PHF in roughly 100 cases, including Levels of Service (LOS) and signal timing calculations. The peak hour (and by extension, the PHF) is used as an input in many traffic related calculations and workflows. Why are peak hour measurements important? What is the probability of a peak hour measurement being correct given that the data used to compute it is only accurate to a certain level? In addition, does this probability depend on the type of road (total volume, original Peak Hour Factor ) that is being measured? To start, we focused specifically on the calculation of peak hour, seeking to answer the formalized question: To better understand the effects of inaccurate data, UrbanLogiq applied a statistical simulation to analyze the different levels of accuracy of collected traffic volume data and its effects. Accordingly, questions often arise about the accuracy of different data sources. Emerging and traditional datasets, such as manual counts and data from traffic sensors are increasingly used together in transportation engineering, operations, and planning workflows. Internet of Things (IoT) sensory technology, connected vehicles, location-based data, telecommunications data, computer vision… the list goes on. The last few years have seen an explosion of new datasets to measure traffic patterns.
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