Public Transport systems form an integral part in development of city. The development of the city can be correlated to the proportion of its population adopting public transport as its primary mode of transport. For organizations, which provide public transport services in a city, it will be beneficial to have real-time intelligent scheduling and dispatching system. To have a functional intelligent scheduling system, it is necessary to build a passenger flow prediction system, which predicts the flow of passengers based on historical data and environmental conditions. This paper presents various approaches for transit passenger volume prediction, merits and demerits of each.
Many businesses have advertisement as their primary source of revenue. Print and Audio Visual media are on forefront in this area. In today"s technology obsessed world, advertisement also forms a major source of revenue for service providers, app developers who work on mobile platforms. Advertisement on mobile platforms differs a lot from traditional advertisement. The information available with mobile devices can be exploited to target the advertisements towards specific audience. This paper discusses various approaches for targeted advertisements. It also discusses an approach to optimize allocation of advertisements to target audience.
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