Research on Traffic Flow Management in a Well-Known Scenic Town

This study focuses on the comprehensive traffic flow monitoring data from 12 intersections across 4 approaches near a scenic area in CUM2024E, spanning 36 days. The dataset comprises 8,844,997 records (479MB) and enables three key analyses: Traffic signal timing optimization; Cruising vehicles identification;Evaluation of traffic control effectiveness.

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Publication Details

Published
2025-08-08
DOI
https://doi.org/10.1109/iaeac65194.2025.11165812
Primary Topic
Regional Development and Environment
Type
article
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article

Research on Traffic Flow Management in a Well-Known Scenic Town

Xiaomin Cao, Lei Hu, Bin Cheng
Regional Development and Environment
article

Research on Traffic Flow Management in a Well-Known Scenic Town

Xiaomin Cao, Lei Hu, Bin Cheng
article en

Abstract

This study focuses on the comprehensive traffic flow monitoring data from 12 intersections across 4 approaches near a scenic area in CUM2024E, spanning 36 days. The dataset comprises 8,844,997 records (479MB) and enables three key analyses: Traffic signal timing optimization; Cruising vehicles identification;Evaluation of traffic control effectiveness.

Huanggang Normal University (CN), Wuhan Technology and Business University (CN)
Openalex Percentile: Top 66%
Regional Development and Environment
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Research on Traffic Flow Management in a Well-Known Scenic Town — Xiaomin Cao, Lei Hu, et al. · (2025) | TGRS Research Map | TGRS