Abstract:
Traffic handling in cities is becoming a major issue worldwide. Everyone is in a
hurry to go to work or deliver goods on time. The more the vehicular traffic, the
higher the pollution. This is a waste of time, fuel and energy. Currently, there are
many types of research being done to come up with a solution to reduce vehicular
traffic.
Ride-sharing is one of the potential solutions to reduce the traffic congestion by
reducing the number of vehicles entering a city. The idea of Ride-Sharing is to share
rides to/from home/work daily, based on home/work locations. Identification of
home/work locations is one of the major task in Ride-Sharing to identify potential
ride-sharers. Identification of these locations can be done using CDR data. There are
models and algorithms that have been introduced by several types of research to
identify the home/work locations based on CDR data. However, this has not yet been
implemented in Sri Lanka.
The idea of this study is to identify the potential of Ride-Sharing in Sri Lanka using
CDR data. End-Point and En-Route Ride-Sharing are considered as the main Ride-
Sharing options. Analysis was performed on data collected in 2012/2013 period for
41 cities of the Western Province of Sri Lanka. To identify the home/work locations,
the hours between 21.00-05.30 was considered as home hour events and the hours
between 10.00-15.00 considered as work hour events. As per the analysis based on
the collected data it was identified that there are 72.94% potential ride-sharers and
based on the transportation data it was identified that there are 38.43% Private
transportation modes users in the selected cities/towns. Hence, it was identified, that
there is a potential of implementing Ride-Sharing and it has a high impact on traffic
congestion. The decision was mainly based on the number of vehicles entering the
cities.
