Nepal Engineering College | Thesis Abstract

All Thesis Abstracts

Determination of Pedestrian Critical Gap and Level of Service at Selected Crosswalks of Unsignalized Intersections in Kathmandu Valley

Rishikesh Shah

Asst. Prof. Rajesh Khadka

Assessment on Delay Factors of Land Pooling Projects in Kathmandu Valley and its Mitigation Strategies

Amrit Kumar Sharma

Assoc. Prof. Raghu Nath Prajapati

Relationship Between Pavement Condition Index and Skid Resistance: A Case Study of Selected Flexible Pavement Road Sections.

Kumod Prasad Bhatta

Asst.Prof Gopal Gautam

Assessment of Labour Informality in Residential Housing Construction Projects in Kathmandu District, Nepal

Binaya Lamsal

Dr. Dinesh Sukamani

Alternative Building Materials for Embodied Carbon Reduction with Implementation challenges: A Case Study of Dakshinkali Municipality

Suraj Giri

Assoc. Prof. Robert Dongol & Dr. Dinesh Sukamani

An assessment of drivers perception and speed performance of vehicles on W-Beam crash barrier: a case study of Chakchake- Bhingri road section, Pyuthan.

Shashikiran Khadka

Asst.Prof Gopal Gautam

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