Remote Sensing and Geographic Information System-Based Route Planning

Network analysis is a crucial thing of sorting route problem, shortest path and provide optimal route to daily transport vehicles. With help of proper route planning by network analysis gives quickest way and can sort out problem of longest facility of hospital, petrol centre, police station, etc. Closest facility is the also main factor while performing a network analysis for congested routes. Network analysis can solve single route transportation, and it is also capable of solving the multimodal route transportation. The single route transport means by roads and multimodal route transport means by railroads, roads and waterways. To solve route analysis, it means to find out the shortest route and to find out scenic route depend on the impedance. Impedance can give in the form of time which helps to find out the quickest route. The route has lower impedance value and less cost. Remote sensing and global information system (GIS) are the most useful technologies to take out data regarding network analysis and transportation network data sets. Remote sensing and GIS is related to the satellites information to be collected. Optimization of quickest and optimal route based on satellites data collected through computer and mobile-based app to simplify the critical and longest network facility. ArcGIS is software used worldwide to manage the route network facilities within the city or country. In developing and designing the smart city project, ArcGIS is mostly used for optimization of route planning process and location-routing problem (LRP). With the help of remote sensing and GIS technology, we should look for reduction in travel time and consumption of fuel. Location-based service helps me out to collect data with regard to bus user. After gathering all these bus stops data, it would be easy to find out correct location of bus stops. With the help of ArcGIS software, network analysis can be done to get shortest and optimal route for bus which will reduce travelling time and cost of transportation.