Essays about: "bus arrival"
Showing result 1 - 5 of 9 essays containing the words bus arrival.
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1. Modeling and quantifying uncertainty in bus arrival timeprediction
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Public transportation operates in an environment which, due to its nature of numerous possibly influencing factors, is highly stochastic. This makes predictions of arrival times difficult, yet it’s important to be accurate in order to adhere to travelers expectations. READ MORE
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2. Evolution of public transport network design due to the arrival of autonomous buses
University essay from KTH/TransportplaneringAbstract : There is rapid development in the transportation field. Soon, along with the rapid population growth, there will be a change in the mobility pattern. READ MORE
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3. Järnvägsstationerna och deras omgivning : då och nu med fyra exempelstationer
University essay from SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)Abstract : Since the nineteenth century the railway stations have been a part of the Swedish transport network. Some of the stations have been closed since the car made it´s way into society. In recent years some stations have reopened and new once have been built. READ MORE
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4. Are we there yet? : Prediciting bus arrival times with an artificial neural network
University essay from Uppsala universitet/Institutionen för teknikvetenskaperAbstract : Public transport authority UL (Upplands Lokaltrafik) aims to reduce emissions, air pollution, and traffic congestion by providing bus journeys as an alternative to using a car. In order to incentivise bus travel, accurate predictions are critical to potential passengers. READ MORE
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5. Arrival Time Predictions for Buses using Recurrent Neural Networks
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : In this thesis, two different types of bus passengers are identified. These two types, namely current passengers and passengers-to-be have different needs in terms of arrival time predictions. A set of machine learning models based on recurrent neural networks and long short-term memory units were developed to meet these needs. READ MORE