Open AccessTravel Time Comparison Using Google Map and OSM Tracker
Author(s) -
Angshuman Sahu,
Arnab Dutta,
Parijat Saha
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-890
Subject(s) - global positioning system , floating car data , transport engineering , computer science , android (operating system) , real time computing , flow network , geographic coordinate system , kilometer , traffic congestion , telecommunications , engineering , geography , mathematical optimization , mathematics , geodesy , operating system
In India, people’s socio-economic characteristics in society have changed over the decades which have resulted in increase of vehicle ownership at a huge rate which poses a lot of problem in both traffic control and management system. In the area where continuation is impossible, congestion can be overcome by managing and controlling the traffic. There are major developments in ITS (Intelligent Transportation System) which needs travel time as a major input. Measure the quality of any transportation network travel time is a very popular parameter. The estimation of travel time in urban network became more difficult because of the rapid change in the system and traffic. Emerging technologies such as GPS which become widely available within the last decade, can offer promising improvements in traffic monitoring technologies. Probe vehicles equipped with relatively cheap devices provide researchers with vast amounts of disaggregate traffic data that can be easily used for determining link travel speeds. This study is done in order to estimate the impact of different travel modes on travel time with different day. Data has been collected in a study stretch of 8.1 km length in Khardaha to Dunlop more, KOLKATA using mobile GPS application (OSM tracker in android Operating System) . Different private modes of transportation such as motor bike, bus and car have been used as test vehicle for the collection of data in different traffic flow scenarios in different times and also days. Latitude, longitude, speed and the travelled path at one second interval has been extracted from the GPS application. After completing a data collection, data extracted from the Osm Tracker that is GPX file to convert the value into Excel format. The travel time and average speed of different modes has been compared and the effect of vehicle composition on travel time and average speed has been analyzed.