Titlebook: Intelligent Transport Systems. From Research and Development to the Market Uptake; Third EAI Internatio Ana Lúcia Martins,Joao Carlos Ferre

metropolitan

偽造

易于

Directional Grid-Based Search for Simulation Metamodeling Using Active Learningc methods tend to fail, simulation tools emerge as reliable approaches to study such systems. Despite their versatility, simulation models can prove to be computational burdens, exhibiting prohibitive simulation runtimes. To address this shortcoming, metamodels are used to aid in the simulation mode

Admire

導(dǎo)師

Arb853

灰心喪氣

殺蟲劑

因無茶而冷淡

Automatic Generation of Spider Maps for Providing Public Transports Informationily understand the underlying network, thus facilitating the user experience and public transports ridership. Spider Maps combine elements from geographical and schematic maps, to allow answering questions like “From where I am, where can I go?”. Although these maps could be very useful for travelle

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Public Transportation Prediction with Convolutional Neural Networkssolution to a particular problem: improve the prediction of the bus arrival time at each bus stop station on a given itinerary, by taking to account global and local traffic contexts. The main principle consists of modeling the traffic data as an image structure, adapted for applying CNN deep neural