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MultiTypeSensors.md

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- [**Video**](https://www.bilibili.com/video/BV14g411L7rL?from=search&seid=3384406637636649164&spm_id_from=333.337.0.0)
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The overarching rationale of transportation system intelligence is that developments in **sensing, cyber-physical infrastructures, and crowdsouring big data technologies** can be integrated to effecitive use for improving the performance of transportation systems.
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- The overarching rationale of transportation system intelligence is that developments in **sensing, cyber-physical infrastructures, and crowdsouring big data technologies** can be integrated to effecitive use for improving the performance of transportation systems.
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**Early "traffic demand flow estimation" model focus on estimating origin/destination (OD) matrices from traffic counts.**
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**This paper first proposes a multi-layered Hierarchical Flow Network (HFN) to structurally model different levels of travel demand variables using multiple data sourses.**
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The demand variables including trip generatin, origin/destination matrices, path/link flow, and individual behavior parameters.
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- **This paper first proposes a multi-layered Hierarchical Flow Network (HFN) to structurally model different levels of travel demand variables using multiple data sourses.**
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## Multiple data sources:
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