Systematic Literature Review on the Development of Engineering Management Models for Traffic Control Policy Optimization at Unsignalized Intersections Using a Multi-Objective Analysis Approach

M. Hasib Al Isbilly; Aryuanto Soetedjo; Nusa Sebayang; Nanta Sigit

doi:10.63922/ijevss.v5i03.4119

M. Hasib Al Isbilly Doctoral Program in Engineering Management, National Institute of Technology, Malang, Indonesia
Aryuanto Soetedjo Doctoral Program in Engineering Management, National Institute of Technology, Malang, Indonesia
Nusa Sebayang Doctoral Program in Engineering Management, National Institute of Technology, Malang, Indonesia
Nanta Sigit Doctoral Program in Engineering Management, National Institute of Technology, Malang, Indonesia

DOI: https://doi.org/10.63922/ijevss.v5i03.4119

Keywords: unsignalized intersections, engineering management, traffic control policy, multi-objective optimization, traffic microsimulation, surrogate safety measures, systematic literature review.

Abstract

Unsignalized intersections play a critical role in urban transportation networks, particularly in developing countries characterized by heterogeneous traffic conditions and increasing travel demand. However, traffic control policy decisions at these intersections often involve trade-offs between operational efficiency and traffic safety. This study presents a systematic literature review (SLR) on the development of engineering management models for traffic control policy optimization at unsignalized intersections using a multi-objective analysis approach. The review follows the PRISMA 2020 framework and examines peer-reviewed articles indexed in Scopus published between 2015 and 2025. A total of 55 studies were selected after a rigorous screening and eligibility assessment process. The findings indicate that existing research has primarily focused on operational performance evaluation, surrogate safety measures, traffic microsimulation, and optimization techniques as separate domains. Limited studies have integrated these components into a comprehensive decision-support framework. The review identifies key research gaps and highlights the need for integrated engineering management models that combine operational, safety, simulation, and optimization perspectives to support evidence-based traffic control policy decisions.

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