Integrating speed reduction index (SRI) and AADT for prioritizing road network mobility improvements: A case study on Thailand’s national highway

Efficient evaluation of road network mobility performance is a concern for highway departments worldwide, with critical implications for economic productivity and transportation sustainability.This study focuses on the evaluation of traffic congestion indices (TCI), with particular attention to the...

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Main Authors: Somsiri Siewwuttanagul, Natachai Wongchavalidkul, Puttipan Seraneeprakarn
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Transportation Research Interdisciplinary Perspectives
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Online Access:http://www.sciencedirect.com/science/article/pii/S2590198225001319
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author Somsiri Siewwuttanagul
Natachai Wongchavalidkul
Puttipan Seraneeprakarn
author_facet Somsiri Siewwuttanagul
Natachai Wongchavalidkul
Puttipan Seraneeprakarn
author_sort Somsiri Siewwuttanagul
collection DOAJ
description Efficient evaluation of road network mobility performance is a concern for highway departments worldwide, with critical implications for economic productivity and transportation sustainability.This study focuses on the evaluation of traffic congestion indices (TCI), with particular attention to the Speed Reduction Index (SRI), due to its straightforward interpretation of congestion severity. SRI is efficient for large-scale assessments, such as at the country or regional level. To assess mobility performance, we utilize an average road speed data obtained from “TomTom,” which meticulously captures nationwide driving speeds within small road sections (approximately 100 to 500 m per section).For highway departments grappling with limited annual budgets for road improvements, prioritizing road sections and areas for intervention presents a significant challenge. To address this, our study proposes a novel approach: the integration of SRI and Annual Average Daily Traffic (AADT) data. By combining the severity level (SRI interpretation) with the impact level on road users (AADT interpretation), a more informed and assessment of road network mobility emerges.To demonstrate the practicality of this methodology, we applied it to the Thai national highway, focusing on the highest road hierarchy (Road Hierarchies 1 and 2) and tested the rationale of use with factors that may cause a variation in road network mobility performance, such as urban density, elevation, lane count, delay, and speed limit. The results offer a comprehensive overview of roads in need of urgent improvement at the national level.
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series Transportation Research Interdisciplinary Perspectives
spelling doaj-art-d7bcefa684ad45a8b194a9db1f0e5a032025-08-20T03:30:49ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822025-05-013110145210.1016/j.trip.2025.101452Integrating speed reduction index (SRI) and AADT for prioritizing road network mobility improvements: A case study on Thailand’s national highwaySomsiri Siewwuttanagul0Natachai Wongchavalidkul1Puttipan Seraneeprakarn2Faculty of Engineering, Mahidol University, Thailand; Corresponding author.Faculty of Engineering, Mahidol University, ThailandInter-city Motorway Division, Department of Highways, Ministry of Transport, ThailandEfficient evaluation of road network mobility performance is a concern for highway departments worldwide, with critical implications for economic productivity and transportation sustainability.This study focuses on the evaluation of traffic congestion indices (TCI), with particular attention to the Speed Reduction Index (SRI), due to its straightforward interpretation of congestion severity. SRI is efficient for large-scale assessments, such as at the country or regional level. To assess mobility performance, we utilize an average road speed data obtained from “TomTom,” which meticulously captures nationwide driving speeds within small road sections (approximately 100 to 500 m per section).For highway departments grappling with limited annual budgets for road improvements, prioritizing road sections and areas for intervention presents a significant challenge. To address this, our study proposes a novel approach: the integration of SRI and Annual Average Daily Traffic (AADT) data. By combining the severity level (SRI interpretation) with the impact level on road users (AADT interpretation), a more informed and assessment of road network mobility emerges.To demonstrate the practicality of this methodology, we applied it to the Thai national highway, focusing on the highest road hierarchy (Road Hierarchies 1 and 2) and tested the rationale of use with factors that may cause a variation in road network mobility performance, such as urban density, elevation, lane count, delay, and speed limit. The results offer a comprehensive overview of roads in need of urgent improvement at the national level.http://www.sciencedirect.com/science/article/pii/S2590198225001319Road Network MobilityAssessmentNational HighwaySpeed Reduction IndexAnnual Average Daily Traffic
spellingShingle Somsiri Siewwuttanagul
Natachai Wongchavalidkul
Puttipan Seraneeprakarn
Integrating speed reduction index (SRI) and AADT for prioritizing road network mobility improvements: A case study on Thailand’s national highway
Transportation Research Interdisciplinary Perspectives
Road Network Mobility
Assessment
National Highway
Speed Reduction Index
Annual Average Daily Traffic
title Integrating speed reduction index (SRI) and AADT for prioritizing road network mobility improvements: A case study on Thailand’s national highway
title_full Integrating speed reduction index (SRI) and AADT for prioritizing road network mobility improvements: A case study on Thailand’s national highway
title_fullStr Integrating speed reduction index (SRI) and AADT for prioritizing road network mobility improvements: A case study on Thailand’s national highway
title_full_unstemmed Integrating speed reduction index (SRI) and AADT for prioritizing road network mobility improvements: A case study on Thailand’s national highway
title_short Integrating speed reduction index (SRI) and AADT for prioritizing road network mobility improvements: A case study on Thailand’s national highway
title_sort integrating speed reduction index sri and aadt for prioritizing road network mobility improvements a case study on thailand s national highway
topic Road Network Mobility
Assessment
National Highway
Speed Reduction Index
Annual Average Daily Traffic
url http://www.sciencedirect.com/science/article/pii/S2590198225001319
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AT natachaiwongchavalidkul integratingspeedreductionindexsriandaadtforprioritizingroadnetworkmobilityimprovementsacasestudyonthailandsnationalhighway
AT puttipanseraneeprakarn integratingspeedreductionindexsriandaadtforprioritizingroadnetworkmobilityimprovementsacasestudyonthailandsnationalhighway