1–20 of 48 hits
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    Coupling travel characteristics identifying and deep learning for demand forecasting on car‐hailing tourists: A case study of Beijing, China

    Free access
    Liu, Zile / Liu, Xiaobing / Wang, Yun et al. | Wiley | 2024
    Keywords: big data , demand forecasting , traffic and demand managing

    Identifying similar days for air traffic management

    Gorripaty, Sreeta / Liu, Yi / Hansen, Mark et al. | Elsevier | 2017
    Keywords: Clustering capacity and demand data , Air traffic management

    Traffic Congestion Analysis and Occupancy Parameter in India

    Tsuboi, Tsutomu | Springer Verlag | 2021
    Keywords: Traffic flow , Traffic congestion , Traffic fundamental characteristics , Big Data , Systems and Data Security

    Understanding Taxi Travel Demand Patterns Through Floating Car Data

    Nuzzolo, Agostino / Comi, Antonio / Papa, Enrica et al. | Springer Verlag | 2018
    Keywords: Taxi demand , Travel demand , Floating car data , Transportation Technology and Traffic Engineering , Data Mining and Knowledge Discovery , Energy Policy, Economics and Management

    Estimating Parameters of Demand for Trips by Public Bicycle System Using GPS Data

    Naumov, Vitalii / Banet, Krystian | Springer Verlag | 2019
    Keywords: Demand parameters , Data cleansing , Transportation Technology and Traffic Engineering

    Coupling travel characteristics identifying and deep learning for demand forecasting on car‐hailing tourists: A case study of Beijing, China

    Free access
    Zile Liu / Xiaobing Liu / Yun Wang et al. | DOAJ | 2024
    Keywords: big data , demand forecasting , traffic and demand managing

    Characteristics Analysis and Prediction of Rail Transit Passenger Flow Based on LSTM

    Zeng, Xiaoqing / Yue, Xiaoyuan / Yuan, Tengfei et al. | Springer Verlag | 2023
    Keywords: Characteristics Analysis , Transportation Technology and Traffic Engineering , Big Data

    Time-Varying Characteristics and Forecasting Model of Parking Berth Demand in Urban Residential Areas

    Chen, Jun / Yue, Yi-fan / Zheng, Jingheng et al. | Springer Verlag | 2020
    Keywords: Time-varying characteristics , Parking demand forecast , Transportation Technology and Traffic Engineering , Industrial and Production Engineering

    Modeling Measurements Towards Effect of Past Behavior on Travel Behavior

    Gao, Kun / Zhang, Tianshu / Li, Zhihan | Springer Verlag | 2021
    Keywords: Travel demand , Transportation Technology and Traffic Engineering , Data Engineering

    An Approach to Analyze Commuters’ Transfer Characteristics on the Public Transportation Network in an Incomplete Data Environment

    Sun, Shichao | Springer Verlag | 2021
    Keywords: Transfer characteristics , Smartcard data , Transportation Technology and Traffic Engineering

    Multivariate Time Series Analysis Using Recurrent Neural Network to Predict Bike-Sharing Demand

    Boonjubut, Kanokporn / Hasegawa, Hiroshi | Springer Verlag | 2020
    Keywords: Predict demand , Transportation Technology and Traffic Engineering , Data Engineering

    Human Factors Evaluation of an In-Vehicle Active Traffic and Demand Management (ATDM) System

    K. Sykes | NTIS | 2016
    Keywords: Transportation & Traffic Planning , In-Vehicle Active Traffic , Traffic safety , Data collection , Traffic safety analysis , Traffic congestion , Figures(Data) , Tables (Data) , Active Traffic and Demand Management (ATDM) Systems

    Analysis of Spatial–Temporal Characteristics Based on Mobile Phone Data

    Yin, Hong-liang / Zheng, Chang-jiang | Springer Verlag | 2017
    Keywords: Spatial–temporal characteristics , Mobile phone data , Transportation Technology and Traffic Engineering , Industrial and Production Engineering

    QZTool—Automatically Generated Origin-Destination Matrices from Cell Phone Trajectories

    Horn, Christopher / Gursch, Heimo / Kern, Roman et al. | Springer Verlag | 2016
    Keywords: Travel demand , Floating phone data (FPD) , Big data , Transportation Technology and Traffic Engineering

    Ramp Metering: A Proven Effective Strategy

    NTIS | 2014
    Keywords: Transportation & Traffic Planning , Energy Use, Supply, & Demand , Traffic congestion , Traffic volume , Traffic signals , Traffic data , Active Traffic Management (ATM) , Active Transportation and Demand Management (ATDM) , Transportation Systems Management and Operations (TSM&O)

    Research on Travel Features of Car Based on RFID Big Data in Chongqing Main City

    Yang, Hong / Zhang, Lei / Cheng, Long-chun et al. | Springer Verlag | 2018
    Keywords: Big data , Travel characteristics , Transportation Technology and Traffic Engineering , Industrial and Production Engineering

    Shared Autonomous Electrical Vehicles and Urban Mobility: A Vision for Rome in 2035

    Nuzzolo, Agostino / Persia, Luca / Comi, Antonio et al. | Springer Verlag | 2018
    Keywords: Travel demand management , Transportation Technology and Traffic Engineering , Data Mining and Knowledge Discovery , Energy Policy, Economics and Management

    Estimating Dynamic Origin-Destination Data and Travel Demand Using Cell Phone Network Data

    Wang, Ming-Heng / Schrock, Steven D. / Vander Broek, Nate et al. | Springer Verlag | 2013
    Keywords: Dynamic origin-destination data , Travel demand , Cellular phone network data , Commuting traffic , Robotics and Automation , Computer Imaging, Vision, Pattern Recognition and Graphics , User Interfaces and Human Computer Interaction

    Airport Systems Planning

    Ashford, Norman / Wright, Paul H. | Wiley | 1992
    Keywords: airspace control limits and movements , traffic data and demand characteristics , air transport system and government regulated monopoly

    New Data and Methods for Modelling Future Urban Travel Demand: A State of the Art Review

    Puignau Arrigain, Sara A. / Pons-Prats, Jordi / Saurí Marchán, Sergi | Springer Verlag | 2020
    Keywords: Travel demand modelling , New data sources , Transportation Technology and Traffic Engineering , Computational Science and Engineering , Simulation and Modeling , Aerospace Technology and Astronautics , Big Data