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Cluster Analysis of Day-to-Day Traffic Data in Networks
10 references·1 citing·49 second hop
Cluster Analysis of Day-to-Day Traffic Data in Networks (2022)Cluster Analysis of Day-to-Day Traffic Da…Unsupervised Deep Learning for GPS-Based Transportation Mode Identification (2020)Unsupervised Deep Learning fo…Statistical inference of probabilistic origin-destination demand using day-to-day traffic data (2018)Statistical inference of prob…On the variance of recurrent traffic flow for statistical traffic assignment (2017)On the variance of recurrent …Clustering Vehicle Temporal and Spatial Travel Behavior Using License Plate Recognition Data (2017)Clustering Vehicle Temporal a…A Reliability-Based Stochastic Traffic Assignment Model for Network with Multiple User Classes under Uncertainty in Demand (2006)A Reliability-Based Stochasti…A Second Order Stochastic Network Equilibrium Model, II: Solution Method and Numerical Experiments (2002)A Second Order Stochastic Net…A Second Order Stochastic Network Equilibrium Model, I: Theoretical Foundation (2002)A Second Order Stochastic Net…STATISTICAL ANALYSIS OF DAY-TO-DAY VARIATIONS IN REAL-TIME TRAFFIC FLOW DATA (1995)STATISTICAL ANALYSIS OF DAY-T…Some developments in equilibrium traffic assignment (1980)Some developments in equilibr…On Stochastic Models of Traffic Assignment (1977)On Stochastic Models of Traff…9 to 5 or a new‐normal? Cluster analysis of pre and post pandemic vehicle and cycle diurnal flow profiles (2024)9 to 5 or a new‐normal? Clust…Studies in the Economics of Transportation. (1956)Studies in the Economics of Transportation. (1957)The stability of stochastic equilibrium in a two-link transportation network (1984)NETWORK KNOWLEDGE AND ROUTE CHOICE (2002)Route choice modeling: past, present and future research directions (2009)Urban transportation networks: Equilibrium analysis with mathematical programming methods (1986)The valuation of reliability for personal travel (2001)The value of time and reliability: measurement from a value pricing experiment (2001)The α-reliable mean-excess traffic equilibrium model with stochastic travel times (2009)Transit network design based on travel time reliability (2014)Multiclass traffic assignment model for mixed traffic flow of human-driven vehicles and connected and autonomous vehicles (2019)A probabilistic multipath traffic assignment model which obviates path enumeration (1971)The measurement of urban travel demand (1974)An efficient approach to solving the road network equilibrium traffic assignment problem (1975)Discrete Choice Methods and their Applications to Short Term Travel Decisions (1999)A review of urban transportation network design problems (2013)The existence, uniqueness and stability of traffic equilibria (1979)Discrete Choice Analysis (1985)Optimal adaptive routing and traffic assignment in stochastic time-dependent networks (2005)A computationally efficient methodology to characterize travel time reliability using the fast Fourier transform (2010)First-best marginal cost toll for a traffic network with stochastic demand (2010)An Algorithm for the Discrete Network Design Problem (1975)The Stability of a Dynamic Model of Traffic Assignment—An Application of a Method of Lyapunov (1984)A MODIFIED LOGIT ROUTE CHOICE MODEL OVERCOMING PATH OVERLAPPING PROBLEMS. SPECIFICATION AND SOME CALIBRATION RESULTS FOR INTERURBAN NETWORKS (1996)Doubly Dynamic Equilibrium Distribution Approximation Model for Dynamic Traffic Assignment (2005)On the Equivalence Between SUE and Fixed-Point States of Day-to-Day Assignment Processes with Serially-Correlated Route Choice (2017)The emergence of stochastic user equilibria in day-to-day traffic models (2022)Classification issues in the analysis of complex travel behavior (1986)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges (2016)Big data challenges in transportation: A case study of traffic volume count from massive Radio Frequency Identification(RFID) data (2017)Exploring the Weekly Travel Patterns of Private Vehicles Using Automatic Vehicle Identification Data: A Case Study of Wuhan, China (2019)Understanding vehicles commuting pattern based on license plate recognition data (2021)The Traffic Assignment Problem: Models and Methods (1994)A generalized Bayesian traffic model (2019)A systematic and network-based analysis of data-driven quality management in supply chains and proposed future research directions (2021)Statistical inference of travelers’ route choice preferences with system-level data (2023)Learning transportation mode from raw gps data for geographic applications on the web (2008)Understanding mobility based on GPS data (2008)Transportation mode detection using mobile phones and GIS information (2011)Improving Transportation Mode Identification with Limited GPS Trajectories (2021)A Deep Semi-Supervised Machine Learning Algorithm for Detecting Transportation Modes Based on Gps Tracking Data (2022)A deep learning approach for transportation mode identification using a transformation of GPS trajectory data features into an image representation (2024)Simulation-based estimation of the real demand in bike-sharing systems in the presence of censoring (2019)Reliable location of automatic vehicle identification sensors to recognize origin-destination demands considering sensor failure (2022)Estimating network flow and travel behavior using day-to-day system-level data: A computational graph approach (2023)Daily flow profiles of urban traffic (2004)Network impacts of a road capacity reduction: Empirical analysis and model predictions (2011)Origin-Destination Matrix Estimation Using Big Traffic Data: A Structural Perspective (2019)
this work references cited by second hop

References

  • 1977On Stochastic Models of Traffic Assignment937 cited
  • 1980Some developments in equilibrium traffic assignment490 cited
  • 2006A Reliability-Based Stochastic Traffic Assignment Model for Network with Multiple User Classes under Uncertainty in Demand273 cited
  • 2002A Second Order Stochastic Network Equilibrium Model, I: Theoretical Foundation71 cited
  • 2018Statistical inference of probabilistic origin-destination demand using day-to-day traffic data52 cited
  • 1995STATISTICAL ANALYSIS OF DAY-TO-DAY VARIATIONS IN REAL-TIME TRAFFIC FLOW DATA52 cited
  • 2017Clustering Vehicle Temporal and Spatial Travel Behavior Using License Plate Recognition Data46 cited
  • 2020Unsupervised Deep Learning for GPS-Based Transportation Mode Identification43 cited
  • 2017On the variance of recurrent traffic flow for statistical traffic assignment30 cited
  • 2002A Second Order Stochastic Network Equilibrium Model, II: Solution Method and Numerical Experiments23 cited

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  • 20249 to 5 or a new‐normal? Cluster analysis of pre and post pandemic vehicle and cycle diurnal flow profiles4 cited

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