Nepal Engineering College | Thesis Abstract

All Thesis Abstracts

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

A Study of Green Residential Buildings in Kathmandu Valley: Stakeholder Insights on Design and Economic Viability

Kevin Mathema

Ar. Sujan Shilpakar

Influence of Various Coarse Aggregate Sizes and Gradation on the Workability and Compressive Strength of Concrete

Raju Bista

Er. Ram Hari Dhakal

Assessment of Price Adjustment Practices in Selected Road Construction Projects in Nepal

Robinson Chaudhary

Dillee Ram Dangi

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