Spatial-Based Demand-Responsive Public Transportation System

Create، maintain and development of public transport network in metropolitan are important problems in the field of urban transport management. In public transport، maximize the efficient use of public fleet capacity has been considered. Concepts and technologies of GIS have provided suitable way for management and optimization of the public transports systems. In demand-responsive public transportation system، firstly fellow traveller groups have been established for applicants based on spatial concepts and tools of GIS، second for each group according to its’ members and their paths، a public vehicle has been allocated to them then based on dynamic routing، the fellow traveller group has been gathered from their origin and has been moved to their destination through optimal route. The suggested system has been implemented based on network data and commuting trips statistics of 1 to 6 districts in Tehran city. Evaluation performed on the results show the 34% increase using of Taxi capacity، 13% increase using of Van capacity and 10% increase using of Bus capacity in comparison between current public transport system and suggested public transportation system has been improved.