Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Ridesharing, a recent popular mode of transportation where two or more
travelers following similar routes and schedules share a car to gain benefits
in terms of monetary, comfort, door to door service etc. GPS technology,
smartphones and ridesharing apps altogether have made it convenient and
efficient for strangers to get matched in real-time for sharing a trip. In
reality, this transportation mode is more of like on-demand taxi services. To
attain more benefit in term of matching rate and distance savings, this paper
introduces meeting point concept to motivate ride pooling or group sharing. To
be more specific, meeting point is a common meet up point, to where riders
might need to go by walking, from where driver can pick them up all at once
given that riders and drivers meets time and distance feasibility. For this we
propose time feasibility and distance feasibility conditions to find possible
match lists. To find out the optimal match pairs or groups we introduce a
mathematical optimization model that finds optimal groups on the fly. For
implementing the whole framework, we take help of open source Python
Programming language and Gurobi optimizer. We test our model with open source
data sets of Chengdu city, China. The introduction of meeting points improves
the matching rate and occupancy rate which implies meeting point opens the door
for ride pooling with group matching.
Country : Bangladesh
IRJIET, Volume 4, Issue 12, December 2020 pp. 1-5
