Traffic State Estimation with Big Data-Reference-Cited by-同舟云学术

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Traffic State Estimation with Big Data

Published:2018-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th ACM SIGSPATIAL International Workshop on Safety and Resilience
language:
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Author:

Xing Han¹,Zhang Ke²,Yang Zifan²,Sun Lianying³,Liu Yi¹

Affiliation:

1. Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, China

2. Transportation Operations Coordination Center, Beijing, China

3. College of Urban Rall Transit and Logistics, Beijing Union University, Beijing, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3284103.3284112

Reference8 articles.

1. Statistical features of traffic flow on urban freeways

2. Traffic data reconstruction based on markov random field modeling{J};Inverse Problems,2014

3. Smartphone based traffic state detection using acoustic analysis and crowdsourcing

4. Macroscopic traffic state estimation using relative flows from stationary and moving observers

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