FORMULATION OF THE LENGH OF NOSIE BARRIER FOR ROAD TRAFFIC BY USING THE RESULTS OF CROSS-SECTIONAL PREDICTION

Authors

Publication Details

Journal
Japanese Journal of JSCE
Published
2025-01-01
DOI
https://doi.org/10.2208/jscejj.24-00074
Primary Topic
Transportation Systems and Logistics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FORMULATION OF THE LENGH OF NOSIE BARRIER FOR ROAD TRAFFIC BY USING THE RESULTS OF CROSS-SECTIONAL PREDICTION

Jing Liu, Zhichao Liu, Zhi Li
Japanese Journal of JSCE
Transportation Systems and Logistics
article

FORMULATION OF THE LENGH OF NOSIE BARRIER FOR ROAD TRAFFIC BY USING THE RESULTS OF CROSS-SECTIONAL PREDICTION

Jing Liu, Zhichao Liu, Zhi Li
article en

Abstract

No abstract available for this paper.
Japanese Journal of JSCEVol. 81(3)
Sustainable cities and communities
Openalex Percentile: Top 95%
Transportation Systems and Logistics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

FORMULATION OF THE LENGH OF NOSIE BARRIER FOR ROAD TRAFFIC BY USING THE RESULTS OF CROSS-SECTIONAL PREDICTION — Jing Liu, Zhichao Liu, et al. · Japanese Journal of JSCE (2025) | TGRS Research Map | TGRS