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Online traffic models- a learning experience

机译:在线流量模型-学习经验

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摘要

This article gathers experience from case studies concerning the online modelling of traffic. The objective is to discuss the challenges posed by working in real time in a real-world environment and to provide guidelines to assist those developing online traffic situation models. There are many issues that need to be taken into consideration concerning other aspects besides the model. Specifically, these challenges are related to data, data transfer, and the monitoring system. As many of the challenges cannot be avoided, the best advice is to make robust models that regard all incoming data with suspicion. The model also has to accommodate partial or delayed information. In most cases, the model developer cannot eliminate all the challenges, but he or she should be aware of them and minimise their harmful consequences.
机译:本文从有关流量在线建模的案例研究中收集了经验。目的是讨论在现实环境中实时工作所带来的挑战,并提供指南以帮助那些开发在线交通状况模型的人。除了模型之外,还有许多其他方面需要考虑的问题。具体而言,这些挑战与数据,数据传输和监视系统有关。由于无法避免许多挑战,因此最好的建议是建立可靠的模型,以怀疑的方式考虑所有传入的数据。该模型还必须容纳部分或延迟的信息。在大多数情况下,模型开发人员无法消除所有挑战,但他或她应意识到这些挑战并将其有害后果降至最低。

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