Manisha Dhapola,
Himanshu Bharti,
Sanjeev Suman,
- , Resarch Scholar, Department of Civil Engineering, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India, ,
- , Resarch Scholar, Department of Civil Engineering, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India, ,
- , Associate Professor, Department of Civil Engineering, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India, ,
Abstract
Although Tourism helps the economy, but it can also harm the environment, especially in popular tourist destinations. Optimizing routing is one way to reduce these environmental effects. This review paper examines how the well-known and traditional Dijkstra’s method for shortest path computation is used to pollution management and support sustainable tourism. The study explores how intelligent traffic routing can minimize traffic congestion in environmentally sensitive areas and lower fuel consumption which helps in decreasing carbon emissions. The paper also discusses improved and hybrid versions of real time Dijkstra’s Algorithm. These improvements combine real time data such as traffic density, automobile pollution level, and road network structure to make route planning smarter and more eco-friendly. Finally, the study proposes a framework for ecologically aware routing in tourist sites using sophisticated path finding algorithms is discussed in the study’s conclusion, along with several unresolved research challenges. In addition, the review highlights the integration of Dijkstra’s algorithm with emerging technologies such as the Internet of Things (IoT), Geographic Information Systems (GIS), Artificial Intelligence (AI), and smart transportation systems to improve route optimization in tourist destinations. The study also compares conventional shortest-path techniques with modern adaptive routing approaches that utilize dynamic traffic information and environmental indicators. Furthermore, it discusses the role of intelligent transportation systems in enhancing travel efficiency, reducing travel time, and improving visitor experiences while minimizing environmental impacts. The findings suggest that environmentally conscious routing strategies can significantly contribute to sustainable tourism by reducing vehicle emissions, conserving fuel resources, and protecting ecologically sensitive tourist areas. This review also identifies current research gaps and future directions for developing intelligent, scalable, and environmentally sustainable routing frameworks that support green tourism and long-term environmental conservation.
Keywords: Dijkstra’s Algorithm, Eco-routing, Smart Tourism, Sustainable Transportation, Intelligent Transportation Systems, Pollution Reduction
[This article belongs to Trends in Transport Engineering and Applications ]
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Trends in Transport Engineering and Applications
| Volume | 13 | |
| Issue | 02 | |
| Received | 20/07/2026 | |
| Accepted | 23/07/2026 | |
| Published | 29/07/2026 | |
| Publication Time | 9 Days |