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A Real-Time Parking Prediction System for Smart Cities
15 references·2 citing·42 second hop
A Real-Time Parking Prediction System for Smart Cities (2015)A Real-Time Parking Prediction System for…Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…Prediction of parking space availability in real time (2012)Prediction of parking space a…Modeling interdependencies between vehicle transaction, residential relocation and job change (2011)Modeling interdependencies be…Modeling commuting mode choice jointly with work start time and work duration (2011)Modeling commuting mode choic…A random-parameter hazard-based model to understand household evacuation timing behavior (2011)A random-parameter hazard-bas…Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Statistical methods versus ne…Statistical and Econometric Methods for Transportation Data Analysis, Second Edition (2010)Statistical and Econometric M…Exploring Best-Fit Hazard Functions and Lifetime Regression Models for Urban Weekend Activities:Case Study (2010)Exploring Best-Fit Hazard Fun…Journal of Urban Economics 62 (1) (2007) (2007)Journal of Urban Economics 62…Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …Modelling drivers’ car parking behaviour using data from a travel choice simulator (2004)Modelling drivers’ car parkin…Statistical and Econometric Methods for Transportation Data Analysis (2003)Statistical and Econometric M…Spatial applications using 4S technology for mobile environment (2003)Spatial applications using 4S…Parking demand and responsiveness to supply, pricing and location in the Sydney central business district (2001)Parking demand and responsive…Hazard‐based duration models and their application to transport analysis (1994)Hazard‐based duration models …A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources (2019)A deep learning approach to r…Security and Privacy in Smart Cities: Challenges and Opportunities (2018)Security and Privacy in Smart…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining neural network model with seasonal time series ARIMA model (2002)Dynamic Bus Arrival Time Prediction with Artificial Neural Networks (2002)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)Deep learning for short-term traffic flow prediction (2017)Anomalies: The Flypaper Effect (1995)Ethnic networks and employment outcomes (2012)Econometric Models of Probabilistic Choice (1981)Discrete Choice Analysis: Theory and Application to Travel Demand (1987)Discrete choice analysis: Theory and application to travel demand (1988)Transit Price Elasticities and Cross - Elasticities (2004)The evidence base for parking policies—a review (2006)PARKAGENT: An agent-based model of parking in the city (2008)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Forecasting with artificial neural networks: (1998)Real-time road traffic prediction with spatio-temporal correlations (2010)Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Econometric Methods for the Duration of Unemployment (1979)Does Unemployment Cause Future Unemployment? Definitions, Questions and Answers from a Continuous Time Model of Heterogeneity and State Dependence (1980)A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data (1984)A hazard-based duration model of shopping activity with nonparametric baseline specification and nonparametric control for unobserved heterogeneity (1996)Multi-faceted tourist travel decisions: a constraint-based conceptual framework to describe tourists' sequential choices of travel components (1998)Observing the rhythms of daily life: A six-week travel diary (2002)Conceptualizing smart city with dimensions of technology, people, and institutions (2011)Smart cities of the future (2012)Governing the smart city: a review of the literature on smart urban governance (2015)A survey on cybersecurity, data privacy, and policy issues in cyber-physical system deployments in smart cities (2019)Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends (2021)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions (2020)Obesity relationships with community design, physical activity, and time spent in cars (2004)Service Quality Attributes Affecting Customer Satisfaction for Bus Transit (2007)How to Evacuate: Model for Understanding the Routing Strategies during Hurricane Evacuation (2013)Factors influencing bike share membership: An analysis of Melbourne and Brisbane (2014)Shared autonomous vehicles and their potential impacts on household vehicle ownership: An exploratory empirical assessment (2018)
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References

  • 2003Statistical and Econometric Methods for Transportation Data Analysis1,920 cited
  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
  • 2010Statistical methods versus neural networks in transportation research: Differences, similarities and some insights845 cited
  • 2005Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach618 cited
  • 2001Parking demand and responsiveness to supply, pricing and location in the Sydney central business district323 cited
  • 2007Journal of Urban Economics 62 (1) (2007)270 cited
  • 1994Hazard‐based duration models and their application to transport analysis260 cited
  • 2010Statistical and Econometric Methods for Transportation Data Analysis, Second Edition246 cited
  • 2012Prediction of parking space availability in real time181 cited
  • 2011A random-parameter hazard-based model to understand household evacuation timing behavior165 cited
  • 2004Modelling drivers’ car parking behaviour using data from a travel choice simulator105 cited
  • 2011Modeling commuting mode choice jointly with work start time and work duration72 cited
  • 2011Modeling interdependencies between vehicle transaction, residential relocation and job change64 cited
  • 2010Exploring Best-Fit Hazard Functions and Lifetime Regression Models for Urban Weekend Activities:Case Study

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21 cited
  • 2003Spatial applications using 4S technology for mobile environment10 cited
  • Cited by

    • 2018Security and Privacy in Smart Cities: Challenges and Opportunities329 cited
    • 2019A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources261 cited