Nepal Engineering College | Thesis Abstract

All Thesis Abstracts

Determinants of Green Building Material Adoption: A Mixed-Methods Study of Awareness, Behavioral Intention, and Professional Influence Among Construction Practitioners in Lalitpur, Nepal

Puja Karki

Er. Subash Kumar Bhattarai

Assessment of Factors and Barriers Influencing Safety Training in Hydropower Projects.

Samip K.C.

Asst. Prof. Dinesh Sukamani

Assessment of Obstacles for the Implementation of Hydropower Projects of Different Modes of Generation studied at Various Phases by NEA.

Bishwa Bandhu Bhattarai

Dr. Dinesh Sukamani

Assessment of Delay in Wastewater Treatment Projects Implemented Under Design Build Operate Model in Kathmandu Valley

Prakash K.C.

Assoc. Prof. Hari Mohan Shrestha

Assessment of Non-Revenue Water of Kathmandu Upatyaka Khanepani Limited: -A Case Study of Lalitpur Distribution System

Rabin Khadka

Er. Rabindra Pokharel

Assessment of Mechanical Properties of Concrete Reinforced with Pine Needle Fiber

Prasanna Raj Acharya

Er. Sudip Karanjit

Evaluation of Connectivity and Multi-Objective Optimization of National Highways in Nepal: A Case Study of Bagmati Province

Student: Kapil Shrestha

Supervisor: Er. Rajesh Khadka

Submitted Date: August, 2024

Abstract

This research focuses on a multi-objective optimization for planning the national highway network in Bagmati Province, a province with mountainous terrain. This Multi objective optimization addresses both accessibility and robustness in highway network proposed by Department of Road, Nepal. The study suggests constructing new highways or upgrading existing ones. The planned road network shows significant improvements: Alpha index rises from 0.131 to 0.189, Beta from 1.232 to 1.348, Gamma from 0.426 to 0.464, and GTP from 0.333 to 0.473. Eta index decreases from 31.081 to 24.097. The high correlation coefficient (0.9999) confirms these statistically significant enhancements. The study employs the Non-dominated Sorting Genetic Algorithm II (NSGA-II), a heuristic solution method for multi-objective optimization problems, to solve this optimization model. The effectiveness of the NSGA-II approach is initially tested on a small hypothetical network, demonstrating its ability to identify most Pareto-optimal/non-dominated solutions. The approach was then applied to the existing national highway network in Bagmati Province, Nepal. The findings show that the model offers numerous Pareto-optimal solutions to policymakers, making it well-suited for highway network planning in mountainous areas. This methodology can also be applied to other developing nations with similar geographic challenges.

Keywords

Multi-objective, optimization, Accessibility, Robustness, Connectivity, NSGA- II, Network planning.

THESIS ABSTRACT