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from Pocket https://ift.tt/z8EVNJW via IFTTT

Why Are Adaptive Traffic Signals Not Used More in the United States?

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There is a common misconception that the sensors located at traffic signals, such as video cameras, loop detectors in the pavement and/or radar/microwave sensors, cause the traffic signals to adapt to changing traffic conditions. In reality, this is not always the case. from Pocket https://ift.tt/k96Kuzy via IFTTT

M-Colley/pedsumo

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Due to limitations with GIT LFS, specifically the quota per project (1GB per month), we have provided an alternative method to download the resources directory. Please use the following Google Drive link to download the resources directory: Download Resources from Pocket https://ift.tt/AsL0Yng via IFTTT

How to use LLMs in synthesizing training data?

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There is an unending quest for rich, diverse, and bias-free data in the dynamic realm of machine learning and artificial intelligence. However, data, as indispensable as it is, often comes with its share of pitfalls — scarcity, privacy concerns, and biases, to name a few. from Pocket https://ift.tt/78mpgw6 via IFTTT

Tutorial – SUMO User Conference 2024

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User tutorial for the traffic simulation package Eclipse SUMO, held at the 2024 User Conference in Berlin. -- Presenter: Jakob Erdmann from Pocket https://www.youtube.com/watch?v=9WCGxJDdY9s&t=4s via IFTTT

Pedestrians : SUMO Documentation

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This page describes simulations of pedestrians in SUMO. Pedestrians are persons that walk. To build an intermodal simulation scenario with proper interactions between road vehicles and pedestrians, additional steps have to be taken in comparison to a plain vehicular simulation. from Pocket https://ift.tt/1EqeBfA via IFTTT

You'll never walk alone - simulating pedestrians in a world of cars

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Presented by Michael Behrisch (Deutsches Zentrum fuer Luft- und Raumfahrt e.V. (DLR)) at EclipseCon 2022. Did you ever feel the urge to simulate your complete moving environment? We are here to help. Up to now, there are several programmes for simulating vehicle or pedestrian flows. An independent from Pocket https://www.youtube.com/watch?v=mfYF_DChwlU via IFTTT