Essays about: "Taxi demand"

Showing result 1 - 5 of 9 essays containing the words Taxi demand.

  1. 1. TDNet : A Generative Model for Taxi Demand Prediction

    University essay from Linköpings universitet/Programvara och system

    Author : Gustav Svensk; [2019]
    Keywords : Taxi Demand; TDNet; WaveNet; Tree Parzen Estimator; Predictive Models; Convolutional Neural Networks; Time Series Forecasting; Traffic Forecasting; Sequence Learning Models;

    Abstract : Supplying the right amount of taxis in the right place at the right time is very important for taxi companies. In this paper, the machine learning model Taxi Demand Net (TDNet) is presented which predicts short-term taxi demand in different zones of a city. READ MORE

  2. 2. Short-Term Forecasting of Taxi Demand using a two Channelled Convolutional LSTM network

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Anton Silfver; [2019]
    Keywords : LSTM; ConvLSTM; Deep Learning; Taxi demand;

    Abstract : In this thesis a model capable of predicting taxidemand with high accuracy across five different real world single company datasets is presented. The model uses historical drop off and arrival information to make accurate shortterm predictions about future taxi demand. The model is compared to and outperforms both LSTM and statistical baselines. READ MORE

  3. 3. Shaping the Future of Mobility in Gothenburg: The Implementation of a Cycle Taxi Service A case study in collaboration with Addvelo and The Space – First to Know

    University essay from Göteborgs universitet/Graduate School

    Author : Jonathan Ahlqvist; Mariëlle Westland; [2018-07-02]
    Keywords : Urban Transportation; Sustainability; Travel Patterns; Cycle Infrastructure; Product Implementation;

    Abstract : MSc in Logistics and Transport Management.... READ MORE

  4. 4. Optimal Taxi Placement Using a Maximal Covering Approach

    University essay from KTH/Optimeringslära och systemteori

    Author : San-San Ma; [2018]
    Keywords : ;

    Abstract : Taxi placement problem is a problem where a number of available taxi vehicles needs to be placed in an area with the objective of covering as much of the demand population as possible in order to acquire as many customer orders as possible. This study tries to model the taxi placement problem as maximum covering location problem (MCLP) and solve it with the heuristic methods, greedy adding (GA) algorithm and local search. READ MORE

  5. 5. Predicting taxi passenger demand using artificial neural networks

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Gustav Zander; [2017]
    Keywords : taxi; neural; network;

    Abstract : In this report a machine learning method using artificial neural networks to estimate taxi demand in different geographical zones in the city of Stockholm is proposed. An attempt to determine the most important input features that affect taxi ridership is performed and a network architecture is conceived and trained using taxi ridership data from a major taxi company operating in the city. READ MORE