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Development of Smart Demand Responsive Transport System and Integration into Conventional Public Transport
By : Ali Moallim
Date : 2018-01-26
Views : 117

In general, it would seem that taxis provide more cost
effective DRT services in areas where demand is lowest
and more dispersed, whilst buses work better on semi-fixed
route patterns in more densely populated areas, though as
yet the evidence supporting this is relatively weak. The lack
of adaptability of conventional bus and taxi services coupled
with the inherent variability of the public transport market.
Different users (indeed same users at different times) can
have very different requirement from a transport service that
are perhaps easier to resolve using DRT than with a bus
service. Ideally, public transport would be as convenient as
private transport, suggesting that all public transport should
be demand responsive.
Taking above issues into consideration, a smart public
transportation system is proposed wherein RFID technology,
dynamic bus trip scheduling, and routing to cloud computing
have been applied. This application will upgrade conventional
public transportation services with DRT features in terms
of flexibility and reliability, as conventional solutions tend
to produce either convoluted routes, irregular services or
both. The application will facilitates better trip scheduling,
occupancy rates, and less access-time and window-time per
user. Being able to display exactly where buses are located
in real-time to commuter either through the mobile phones or
bus-stops electronic passenger panels, along with commuters
booking requests at bus-stops to bus drivers, will greatly
enhance scheduling capability. This proposed system is being
implemented by utilizing Google Maps API, onto which the
coordinates for bus stops, bus current location indicators and
commuter populous are being overlaid. A version of this
implementation will be afforded to commuters via an Android
application package designed for mobile devices, and a web
version with the same functionality for bus-stops electronic
panel, wherein the user may view a map showing his or her
nearest bus stop plus the ability to query buses schedules
based on the desired pick-up time or drop-off time. A different
version of this implementation has been developed for bus
drivers via an Android application package, wherein the bus
driver may view his or her bus schedule, commuters booking
requests plus the ability to dynamically update its schedule
and notify commuters in real-time. With regard to commuter
frequency, the application server learns the pattern of the
commuters and act accordingly in real-time by automatically
presenting bus drivers with scheduling updates, calculate fare
top-up per passenger and estimated time of arrival (ETA).
Attachment 1:   ÷ presentation.pdf(1.4MB)  
Attachment 2:   ÷ paper.pdf(225.2KB)  
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