Web essentials 2017 less3/8/2023 ![]() It can be applied to cities served by a dense bus network, where busesĪre equipped with active GPS devices that continuously transmit their position. The approach combines graph algorithmsĪnd geospatial data mining techniques. Traversed by buses (2) computation of bus travel time patterns by segment (3) evaluation of how much theīus travel time patterns vary when bus network changes take place. It involves three main steps: (1) analysis of the bus network to determine which road segments are frequently TheĪpproach relies on data obtained from buses equipped with GPS devices, which act as mobile traffic sensors. This paper proposes an approach to evaluate the impact of bus network changes on bus travel time. ![]() Casanova, Hélio Lopes and José Antonio F. Full Papers Short Papers Posters Area 1 - Databases and Information Systems Integration Full Papers Paper Nr:Īn Approach to Evaluate the Impact on Travel Time of Bus Network Changes
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