Delay Model Development of Median U-turn Intersections on a Multilane Divided Highway in Metro Manila

This study provides a comprehensive analysis of traffic delays at U-turn slots in Metro Manila. The primary goal is to develop accurate traffic delay models that can assist traffic engineers in optimizing U-turn slot designs and operations. Data collection spanned two months, during which traffic operations were meticulously observed and recorded. A regression analysis was conducted using data from 40 carefully selected observations for all of the selected U-turn slots, ensuring minimal interference from external factors such as unusual traffic conditions. The findings indicate a strong linear association between conflicting traffic volume and turning delays while U-turning traffic volume shows a slightly less linear but still significant relationship. The study concludes that traffic delay models can predictively assess the effectiveness of a U-turn slot on different conflicting and U-turning traffic volumes. This study underscores the need for targeted interventions and ongoing research to mitigate traffic congestion in Metro Manila, providing valuable insights for traffic authorities and planners.

Authors

Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/ictle62418.2024.10703898
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Delay Model Development of Median U-turn Intersections on a Multilane Divided Highway in Metro Manila

Bryan Allen Jose
1 links
Transportation Planning and Optimization
article

Delay Model Development of Median U-turn Intersections on a Multilane Divided Highway in Metro Manila

Bryan Allen Jose
article en

Abstract

This study provides a comprehensive analysis of traffic delays at U-turn slots in Metro Manila. The primary goal is to develop accurate traffic delay models that can assist traffic engineers in optimizing U-turn slot designs and operations. Data collection spanned two months, during which traffic operations were meticulously observed and recorded. A regression analysis was conducted using data from 40 carefully selected observations for all of the selected U-turn slots, ensuring minimal interference from external factors such as unusual traffic conditions. The findings indicate a strong linear association between conflicting traffic volume and turning delays while U-turning traffic volume shows a slightly less linear but still significant relationship. The study concludes that traffic delay models can predictively assess the effectiveness of a U-turn slot on different conflicting and U-turning traffic volumes. This study underscores the need for targeted interventions and ongoing research to mitigate traffic congestion in Metro Manila, providing valuable insights for traffic authorities and planners.

Sustainable cities and communities
Openalex Percentile: Top 86%
Transportation Planning and Optimization
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.

Delay Model Development of Median U-turn Intersections on a Multilane Divided Highway in Metro Manila — Bryan Allen Jose · (2024) | TGRS Research Map | TGRS