• Sana Shaikh
• Alfiya Shahbad

The daily home-office commute of millions of people in crowded cities puts a strain on air quality, traveling time and noise pollution. This is especially problematic in western cities, where cars and taxis have low occupancy with daily commuters. To reduce these issues, authorities often encourage commuters to share their rides, also known as carpooling or ridesharing. To increase the ridesharing usage it is essential that commuters are efficiently matched. a) : In this paper we present RideMatcher, a novel peer￾to-peer system for matching car rides based on their routes and travel times. Unlike other ridesharing systems, RideMatcher is completely decentralized, which makes it possible to deploy it on distributed infrastructures, using fog and edge computing. Despite being decentralized, our system is able to efficiently match ridesharing users in near real-time. Our evaluations performed on a dataset with 34,837 real taxi trips from New York show that RideMatcher is able to reduce the number of taxi trips by up to 65distance traveled by taxi cabs by up to 64trips by up to 66

Ride matcher syetem, Ride matcher .

"Ride Matcher Architecture ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.d351-d354, April-2022, Available :http://www.jetir.org/papers/JETIR2204343.pdf

"Ride Matcher Architecture ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppd351-d354, April-2022, Available at : http://www.jetir.org/papers/JETIR2204343.pdf