Identifying mismatch between urban travel demand and transport network services using GPS data: A case study in the fast growing Chinese city of Harbin
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Davy Janssens | Geert Wets | Feng Liu | JianXun Cui | Mario Cools | Jia Hu | G. Wets | M. Cools | J. Cui | Feng Liu | Jia Hu | D. Janssens | Feng Liu
[1] Bert van Wee,et al. Accessibility evaluation of land-use and transport strategies: review and research directions , 2004 .
[2] Hjp Harry Timmermans,et al. A learning-based transportation oriented simulation system , 2004 .
[3] Stefan Schönfelder,et al. Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip Information , 2004 .
[4] Glen M. D'Este,et al. Application of Accessibility Based Methods for Vulnerability Analysis of Strategic Road Networks , 2006 .
[5] Matthew J. Roorda,et al. Validation of TASHA: A 24-Hour Activity Scheduling Microsimulation Model , 2008 .
[6] Michael G. McNally,et al. The Four Step Model , 2007 .
[7] Kara M. Kockelman,et al. From Aggregate Methods to Microsimulation , 2007 .
[8] Joel Freedman,et al. Synthesis of first practices and operational research approaches in activity-based travel demand modeling , 2007 .
[9] Oliver Pink,et al. A statistical approach to map matching using road network geometry, topology and vehicular motion constraints , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.
[10] Gaetano Valenti,et al. Traffic Estimation And Prediction Based On Real Time Floating Car Data , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.
[11] Chengyang Zhang,et al. Map-matching for low-sampling-rate GPS trajectories , 2009, GIS.
[12] Alexandre M. Bayen,et al. Kernel regression for travel time estimation via convex optimization , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.
[13] Davy Janssens,et al. Surveying activity-travel behavior in Flanders: Assessing the impact of the survey design , 2009 .
[14] A. El-geneidy,et al. The Minimum Circuity Frontier and the Journey to Work , 2009 .
[15] Davy Janssens,et al. Implementation Framework and Development Trajectory of FEATHERS Activity-Based Simulation Platform , 2010 .
[16] Monika Sester,et al. Integration of GPS traces with road map , 2010, IWCTS '10.
[17] Keechoo Choi,et al. Method for estimating population OD matrix based on probe vehicles , 2010 .
[18] Carey Curtis,et al. Planning for sustainable accessibility: Developing tools to aid discussion and decision-making , 2010 .
[19] Geert Wets,et al. Assessing the Impact of Public Holidays on Travel Time Expenditure , 2010 .
[20] Dino Pedreschi,et al. Unveiling the complexity of human mobility by querying and mining massive trajectory data , 2011, The VLDB Journal.
[21] Xing Xie,et al. Urban computing with taxicabs , 2011, UbiComp '11.
[22] D. Levinson,et al. Accessibility, network structure, and consumers’ destination choice: a GIS analysis of GPS travel data , 2011 .
[23] David Evans,et al. Using Real-Time Road Traffic Data to Evaluate Congestion , 2011, Dependable and Historic Computing.
[24] Davy Janssens,et al. Tracking household routines using scheduling hypothesis embedded in skeletons , 2012 .
[25] Daqing Zhang,et al. Urban Traffic Modelling and Prediction Using Large Scale Taxi GPS Traces , 2012, Pervasive.
[26] Haris N. Koutsopoulos,et al. Path inference of low-frequency GPS probes for urban networks , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.
[27] Davy Janssens,et al. Data Science for Simulating the Era of Electric Vehicles , 2012, KI - Künstliche Intelligenz.
[28] Geert Wets,et al. Modelling Route Choice Decisions of Car Travellers Using Combined GPS and Diary Data , 2013 .
[29] Haris N. Koutsopoulos,et al. Travel time estimation for urban road networks using low frequency probe vehicle data , 2013, Transportation Research Part B: Methodological.
[30] Davy Janssens,et al. Annotating mobile phone location data with activity purposes using machine learning algorithms , 2013, Expert Syst. Appl..
[31] S. Mitrić. Urban transport lending by the World Bank: The last decade , 2013 .
[32] Haris N. Koutsopoulos,et al. Path inference from sparse floating car data for urban networks , 2013 .
[33] Dino Pedreschi,et al. Understanding the patterns of car travel , 2013 .
[34] Davy Janssens,et al. Semantic Annotation Of Gps Traces: Activity Type Inference , 2013 .
[35] Davy Janssens,et al. Semantic Annotation of Global Positioning System Traces , 2013 .
[36] Satish V. Ukkusuri,et al. Urban Link Travel Time Estimation Using Large-scale Taxi Data with Partial Information , 2013 .
[37] A. Huzayyin,et al. Analysis of thirty years evolution of urban growth, transport demand and supply, energy consumption, greenhouse and pollutants emissions in Greater Cairo , 2013 .
[38] K. Gwilliam. Cities on the move: ten years after , 2013 .
[39] David Levinson,et al. Accessibility Futures , 2013, Trans. GIS.
[40] Nicholas Jing Yuan,et al. T-Finder: A Recommender System for Finding Passengers and Vacant Taxis , 2013, IEEE Transactions on Knowledge and Data Engineering.
[41] D. Hartgen. Hubris or humility? Accuracy issues for the next 50 years of travel demand modeling , 2013 .
[42] C. Willoughby. How much can public private partnership really do for urban transport in developing countries , 2013 .
[43] Yang Lu,et al. An Empirical Study of With-in Day OD Prediction Using Taxi GPS Data in Singapore , 2014 .
[44] Davy Janssens,et al. Building a validation measure for activity-based transportation models based on mobile phone data , 2014, Expert Syst. Appl..
[45] John Hourdos,et al. Probe vehicle based real-time traffic monitoring on urban roadways , 2014 .
[46] Soora Rasouli,et al. Activity-based models of travel demand: promises, progress and prospects , 2014 .
[47] H. M. Sánchez-Mateos,et al. Road accessibility and articulation of metropolitan spatial structures: the case of Madrid (Spain) , 2014 .
[48] Davy Janssens,et al. Characterizing activity sequences using profile Hidden Markov Models , 2015, Expert Syst. Appl..