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The Use of Travel Time Estimation to Identify Other Routes to Reduce Traffic

Research output: Contribution to journal › Article › peer-review

Abstract

—Road infrastructure is a fundamental pillar of regional economic growth, yet rapid urbanization in Malang Regency has led to significant congestion, reducing vehicle speeds and efficiency. This study aims to estimate travel times across four critical corridors—H.M. Sunan, Kawi, Sultan Agung, and Talangagung—and identify strategic alternative routes to redistribute traffic loads. Using a Level of Service (LoS) approach integrated with road-length analysis, this research evaluates traffic performance against Indonesian transportation standards. The findings reveal substantial temporal variations, with peak travel times averaging 4.14 minutes during the morning period (06:00–07:00), significantly higher than the evening minimum of 2.20 minutes. The most severe congestion was identified on Talangagung Road, reaching LoS F with a degree of saturation (DS) of 1.19, driven by high through-traffic and educational land-use attractions. To mitigate these bottlenecks, Jatirejoyoso Village is proposed as a strategic location for an alternative route, given its low accessibility index (154.06). Although the proposed 6.44 km route is longer, it offers vital network redundancy and improved travel reliability by bypassing critical congestion points. These results provide a data-driven foundation for local authorities to prioritize infrastructure projects and enhance sustainable transportation planning in Malang Regency. The methodology employed in this study provides a pragmatic, actionable framework for tactical decision-making by local governments. By translating standardized travel time estimates into specific infrastructure recommendations, this research enables more effective prioritization of transportation projects and aids in the development of a more sustainable and resilient urban transportation system in Malang Regency.

Original languageEnglish
Pages (from-to)837-846
Number of pages10
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume16
Issue number3
DOIs
Publication statusPublished - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  4. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • alternative routes
  • Infrastructure
  • level of service
  • travel time

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