TRAFFIC CONGESTION ANALYSIS AND CARBON FOOTPRINT ASSESSMENT USING IRC AND INDO-HCM METHODS
IRCおよびIndo-HCM法を用いた交通渋滞分析とカーボンフットプリント評価 (AI 翻訳)
SA Jadhav, Sujata Magar, Rajvardhan Patil
🤖 gxceed AI 要約
日本語
本研究は、インド・プネーのカラディ交差点を対象に、IRCとIndo-HCMの2つの方法論を用いて交通渋滞とカーボンフットプリントを分析した。朝と夕方のピーク時に交通量データを収集し、V/C比とLOSを評価した結果、Indo-HCMがより現実的な混雑状況を示した。排出量は朝の969.57 kg/hから夕方の976.02 kg/hで、特にバスや大型車両が主要な排出源であることが明らかになった。
English
This study analyzes traffic congestion and carbon footprint at Kharadi Junction, Pune, using IRC and Indo-HCM methods. Traffic volume data during peak hours showed higher congestion under Indo-HCM (V/C ratio up to 1.22, LOS E-F) compared to IRC (LOS A-C). Total emissions were ~970-976 kg/hr, with buses and heavy vehicles as major contributors. The findings highlight the need for traffic management strategies to reduce congestion and environmental impact.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、都市部の交通渋滞と排出削減が課題となっている。本研究が用いたIndo-HCMのような地域特性を反映した評価手法は、日本の交差点設計や排出量算定に参考となる可能性がある。
In the global GX context
This paper provides a practical comparison of traffic congestion assessment methods and associated carbon emissions, which is relevant to global efforts to reduce transport-related GHG emissions. The use of two different standards highlights methodological differences that can affect policy recommendations and infrastructure investments.
👥 読者別の含意
🔬研究者:Methodological comparison of IRC and Indo-HCM for traffic and emissions assessment.
🏢実務担当者:Identification of emission hotspots from heavy vehicles and potential signal optimization strategies.
🏛政策担当者:Evidence for prioritizing bus and HCV emission reduction measures and capacity enhancements.
📄 Abstract（原文）
This study presents a comprehensive analysis of traffic congestion and carbon footprint at Kharadi Junction, Pune, using IRC 106-1990 and Indo-HCM methodologies. Traffic volume data was collected during morning and evening peak hours, with observed volumes of 5862 vehicles (8752.9 PCU) and 6064 vehicles (8989.9 PCU) respectively. The Volumeto-Capacity (V/C) ratio and Level of Service (LOS) were evaluated to assess traffic performance. The IRC-based analysis indicated moderate traffic conditions with V/C ratios ranging from 0.48 to 0.76 (LOS A–C), whereas Indo-HCM results showed more critical conditions with V/C ratios up to 1.22, corresponding to LOS E–F, highlighting oversaturation and unstable flow due to mixed traffic conditions. Carbon footprint assessment was carried out using vehicle-wise emission factors, revealing total emissions of approximately 969.57 kg/hr (morning) and 976.02 kg/hr (evening). Heavy vehicles, particularly buses (≈288 kg/hr) and HCVs (≈236 kg/hr), were identified as the major contributors to emissions. The study demonstrates that Indo-HCM provides a more realistic evaluation of urban traffic behavior compared to IRC standards. The findings emphasize the need for effective traffic management strategies such as signal optimization, capacity enhancement, and sustainable transport solutions to reduce congestion and environmental impact.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.25258/ijddt.16.59s.102first seen 2026-07-02 05:47:35
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。