RouteMighty: Route Planning Software Engine For Abnormal Trucks Based On Graph Database Using Neo4j

Abstract

Abstract This paper presents RouteMighty, a software application developed in Python for the efficient planning of routes for abnormal vehicles, such as those that are overweight or oversized. The software utilizes a dedicated graph structure implemented in Neo4j to optimize the route planning process. The application consists of numerous functions that validate the passability of infrastructure, such as bridges, tunnels, and narrow roads, ensuring that routes are safe and efficient. Additionally, RouteMighty is highly scalable, and it can easily be integrated with existing web mapping services, enabling users to access accurate, up-to-date information about road conditions and infrastructure. The software has been tested extensively, and the results show that it significantly improves the planning process for abnormal vehicles, reducing travel time and costs, while improving safety. Overall, RouteMighty represents a significant advancement in the field of route planning for abnormal vehicles, and it has the potential to revolutionize the way that such vehicles navigate complex road networks.