The development of a sustainable road network in Northeast India is challenging due to the
rough terrain, inclement weather, budgetary constraints, and lack of skilled workforce …

Abstract A Multi-Objective Evolutionary Algorithm (MOEA) framework for highway route
planning is proposed in this paper to simultaneously optimize the environmental, economic …

Due to the growing population and demand, transportation planning has received special
importance in the context of supply chain management. One of the major challenges in …

Traffic congestion is one of the most critical issues in developing sustainable transportation
in smart cities. As the Internet of Things evolves, connected vehicle technology has arisen as …

Existing optimal road-network capacity-expansion models are based on minimizing travel
time and rarely consider environmental factors such as vehicular emissions. In this study we …

Urbanization has aggravated the conflict between continuously increasing urban travel
demands and limited supply. Moreover, the inability to expand urban roads due to previous …

In this article, a bi‐level transportation network design problem with environmental
considerations is investigated. To explicitly reflect various requirements of environmental …

This paper investigates the implementation of a Multi-Objective Optimization technique for
improving public transportation route planning in the setting of smart cities. Recognizing the …

Recent technological advancements provide a level of mobility never seen before to modern
societies. Sustaining today's economy and societies depend on maintaining this mobility …

Optimization-based tools have been included in many engineering management systems for
individual infrastructure asset classes such as pavement management systems (PMS) and …