Abstract
Traveling is very much important in one's life. Location-based services have developed a lot due to the development of communication technologies. It confines services that execute programs that use geographical data. Map services authorize travelers to look for the information surrounding them and organize an outing to his/her best-loved spot. Google Maps API is convenient for locating the shortest route information. However, the map system doesn't supply any illustration about air quality or congestion in a path. At times, a substitute route with less congestion can take you quickly to your spot than a shorter route. Numerous crucial health concerns for human beings are caused due to pollution. The motive is to develop a system that offers the textual explanation of routes utilizing the sub-routes information from Google map and BreezoMeter. The end-user can choose the starting and ending points of his/her travel and the route map showing various routes from source to destination is exhibited along with a small description of each route. The illustration of the routes is obtained depending on three factors such as air quality, congestion and distance gathered from BreezoMeter, Google map traffic API and distance matrix API respectively. Multicategory Support Vector Machine (SVM) is an organized and guided categorization technique and is used here to classify factors into various levels. Since the textual illustration of the route is accessible, the end-user can effortlessly understand the details about the route and they can choose a particular route.
Highlights
Support Vector Machine (SVM) is a supervised algorithm for machine learning, which can be used for classification or regression problems
Algorithm for Descriptive Route begin get the source (s) and destination (d) from user get the intermediate points between s and d for all intermediate points begin compute air quality between two adjacent intermediate points compute distance between two adjacent intermediate points compute traffic between two adjacent intermediate points end for all subroutes available to multiclass SVM algorithm begin compute the overall air quality of route from subroute’s air quality and distance compute the overall traffic of route end display the description of the route based on obtained air quality and traffic end Google will provide a route with less distance and less congestion, but it may not be environmentally friendly
Route Preference Rate (RPR) N distancei (AQi TIi) (1) i 1 totaldistance where N is the number of sub-routes, distancei is the distance of sub route i, AQIi is the Air Quality Index of sub route i and index are 1, 2, 3, 4, and 5 for poor, low, moderate, high, and excellent respectively
Summary
Traveling is a spectacular episode in everyone's life and gives each and every person wonderful experience. Maps related services helps the travelers to look for various routes to their destinations and as well as finding available facilities in each and every locations. A huge volume of proof of air pollution is being produced, and new techniques have been created to translate it into actionable information These monitoring stations and many other networks collect data and calculate location-based air quality data in order to understand what the air they breathe means, irrespective of how far one is from a location. Several routes from one source to a destination are possible All such routes are shown and by reaching any waypoint along the road, the user may pick one of them and the overview of the chosen route is shown, which includes details of all the subroutes along the path and the associated air quality and congestion
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