Vol. 3 No. 3 (2025)

Published: 2026-01-19

Articles

A Novel Technical Framework for Multi-Criteria Optimization of Transportation Network Resilience

Dana Miller, Ashley Edwards, Rowan Evans

30-44
- A Novel Technical Framework for Multi-Criteria Optimization of Transportation Network Resilience
An Advanced Methodological Optimization for Multi-Modal Transportation Network Design Using Heuristic Algorithms

Robin Miller, Morgan Garcia, Robin Collins, Quinn Brown

3-14
- An Advanced Methodological Optimization for Multi-Modal Transportation Network Design Using Heuristic Algorithms
Reappraising the Efficacy of Traditional Traffic Flow Models: A Paradigm Shift Towards Adaptive Simulation Techniques

Chris Hill, Avery Nelson, Morgan Thomas, James Stewart

115-134
- Reappraising the Efficacy of Traditional Traffic Flow Models: A Paradigm Shift Towards Adaptive Simulation Techniques
Enhancing Traffic Flow Efficiency Through Adaptive Signal Control: A Real-Time Data-Driven Approach

Ashley Harris, Kai Hernandez, Jesse Jones, Dana Anderson

75-94
- Enhancing Traffic Flow Efficiency Through Adaptive Signal Control: A Real-Time Data-Driven Approach
Impact of Real-Time Traffic Data on Urban Congestion Mitigation: A Case Study from Los Angeles

Cameron Wright, Drew Nelson, Cameron Jackson, Rowan Lee

45-59
- Impact of Real-Time Traffic Data on Urban Congestion Mitigation: A Case Study from Los Angeles
Critical Reevaluation of Traffic Flow Theory: Towards a Unified Approach in Transportation Modeling

Alex Hernandez, Jordan Collins, Edward Brown

15-29
- Critical Reevaluation of Traffic Flow Theory: Towards a Unified Approach in Transportation Modeling
Optimizing Traffic Flow in Urban Environments through Adaptive Signal Control Systems: Addressing Congestion Challenges in 2024

Jamie Thompson, Dana Robinson, Jesse Davis

95-114
- Optimizing Traffic Flow in Urban Environments through Adaptive Signal Control Systems: Addressing Congestion Challenges in 2024
Optimizing Traffic Signal Control Systems Using Machine Learning to Minimize Urban Congestion: A Case Study in Metropolis City

Robin Wright, Taylor Perez, Morgan Nelson

60-74
- Optimizing Traffic Signal Control Systems Using Machine Learning to Minimize Urban Congestion: A Case Study in Metropolis City