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Ali Moallim, Jae Min Lee, and Dong-Seong Kim, "Hybrid Smart Demand Responsive Public Transport System for Conventional Public Transport in City Metropolitan Area ", IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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Date : 2019-01-29
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Providing quality public transportation is extremely expensive and unpredictable, because passenger demand across a metropolitan area can vary greatly with changes in population density and the time of day.
A frequently suggested solution to this growing transport challenge is enhancement through implementation of demand responsive transport (DRT) services.
DRT is an intermediate form of public transport, a service that can be said to lie between a regular bus service and a personalized taxi service.
It provides "on demand transport to commuters with a fleet of vehicles operating in a shared-ride mode between pick-up and drop-off locations.
However, DRT has been introduced as an alternative transport service, rather than as a substitute for conventional public-transport.
Several adaptation failures in the technology resulted in low-tech DRT systems being introduced, thus reducing the capability of the service.
In this study, a hybrid smart demand-responsive public-transport system has been proposed for integration into the conventional public-transport system of the city of Gumi metropolitan areas in Gyeongsangbuk-do, South Korea.
The proposed system is an intermediate stage to a fully driven DRT service.
It combines the flexibility and reliability of DRT services with the fixed routes and time tables of a conventional public-transport service and has been implemented using cutting-edge technologies.
Moreover, the comparison techniques used were successful in demonstrating that the system performed almost as effectively as the conventional public-transport system while passenger demand was at its highest.
It outperformed the conventional public-transport system in case of low to moderate passenger demand.
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