Title :
Demand responsive services in hierarchical public transportation system
Author :
Uchimura, Keiichi ; Takahashi, Hiro ; Saitoh, Takashi
Author_Institution :
Dept. of Comput. Sci., Kumamoto Univ., Japan
fDate :
7/1/2002 12:00:00 AM
Abstract :
An advanced public transportation system called the local initiative for neighborhood circulation (LINC) is proposed and the realization of its usage is investigated. LINC effectiveness and efficiency comes from its utilization of a transit-station-oriented system with elimination of present bus stops. LINC has three levels of services. Level 1 is the regional trunk line service with high-speed and high-capacity service provided by the regional transit authority. Level 2 is the intercommunity express bus service with frequent and reliable service provided by the metro transit system. Level 3 could have many forms to serve within the community and to/from level 1 or level 2 transit stations. Our study is limited to the dial-a-ride service, which operates door-to-door service as a public taxi, provided by small buses and/or vans. This paper will address the optimization problem of the dial-a-ride service. A genetic algorithm scheme is applied to its optimization and proper solutions are obtained as a result
Keywords :
genetic algorithms; hierarchical systems; rapid transit systems; road traffic; scheduling; transport control; transportation; LINC usage realization; bus stop elimination; community services; demand responsive services; dial-a-ride problems; dial-a-ride services; door-to-door service; frequent service; genetic algorithm optimization; hierarchical public transportation systems; high-capacity service; high-speed service; intelligent transportation systems; intercommunity express bus service; local initiative for neighborhood circulation; metro transit system; public taxis; regional transit authority; regional trunk line service; reliable service; service levels; small buses; small vans; transit-station-oriented system; vehicle routing; vehicle scheduling; Cities and towns; Computer science; Environmental economics; Genetic algorithms; Intelligent transportation systems; Operating systems; Routing; Senior citizens; Urban areas; Vehicles;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2002.1015354
