Bus OD matrix reconstruction based on clustering Wi-Fi probe data

[1]  Ashish Bhaskar,et al.  Empirical evaluation of Bluetooth and Wifi scanning for road transport , 2013 .

[2]  Pedro José Marrón,et al.  Crowd Density Estimation for Public Transport Vehicles , 2014, EDBT/ICDT Workshops.

[3]  Peter G Furth,et al.  Estimating Passenger Miles, Origin–Destination Patterns, and Loads with Location-Stamped Farebox Data , 2002 .

[4]  Alex Cui.  Bus passenger Origin-Destination Matrix estimation using Automated Data Collection systems , 2006 .

[5]  Ming-Hui Jin,et al.  Intelligent Fusion of Wi-Fi and Inertial Sensor-Based Positioning Systems for Indoor Pedestrian Navigation , 2014, IEEE Sensors Journal.

[6]  Richard H. Byrd,et al.  A Trust Region Algorithm for Nonlinearly Constrained Optimization , 1987 .

[7]  Rytis Maskeliunas,et al.  Application Of Computer Vision Systems For Passenger Counting In Public Transport , 2013 .

[8]  Mark R. McCord,et al.  Effect of Onboard Survey Sample Size on Estimation of Transit Bus Route Passenger Origin–Destination Flow Matrix Using Automatic Passenger Counter Data , 2011 .

[9]  Martin L. Hazelton,et al.  Statistical Inference for Transit System Origin-Destination Matrices , 2010, Technometrics.

[10]  Suman Banerjee,et al.  A Wireless-Based Approach for Transit Analytics , 2016, HotMobile.

[11]  W. Y. Szeto,et al.  A cell-based dynamic congestion pricing scheme considering travel distance and time delay , 2019, Transportmetrica B: Transport Dynamics.

[12]  Stefanos Zafeiriou,et al.  On the Improvement of Support Vector Techniques for Clustering by Means of Whitening Transform , 2008, IEEE Signal Processing Letters.

[13]  Howard Slavin,et al.  Use of Entry-Only Automatic Fare Collection Data to Estimate Linked Transit Trips in New York City , 2009 .

[14]  Emanuele Frontoni,et al.  An Intelligent RGB-D Video System for Bus Passenger Counting , 2016, IAS.

[15]  Sue McNeil,et al.  Use of Automatic Vehicle Location and Passenger Count Data to Evaluate Bus Operations , 2005 .

[16]  Alex Lu,et al.  Algorithm to Measure Daily Bus Passenger Miles Using Electronic Farebox Data for National Transit Database Section 15 Reporting , 2011 .

[17]  Yu Gu,et al.  A two-phase optimization model for the demand-responsive customized bus network design , 2020 .

[18]  Tomoko Matsui,et al.  Counting public transport passenger using WiFi signatures of mobile devices , 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

[19]  Stefan Rührup,et al.  Towards Privacy-Preserving Wi-Fi Monitoring for Road Traffic Analysis , 2016, IEEE Intelligent Transportation Systems Magazine.

[20]  Hans-Peter Schwefel,et al.  Public transport occupancy estimation using WLAN probing , 2016, 2016 8th International Workshop on Resilient Networks Design and Modeling (RNDM).

[21]  Panagiotis Ch. Anastasopoulos,et al.  China’s millennial car travelers’ mode shift responses under congestion pricing and reward policies: A case study in Beijing , 2021 .

[22]  Yuxiong Ji,et al.  Statistical inference on transit route‐level origin–destination flows using automatic passenger counter data , 2015 .

[23]  Michal Koháni.  OD Matrix Estimation Using Smart Card Transactions Data and Its Usage for the Tariff Zones Determination in the Public Transport , 2015, OR.

[24]  Yu Yuan,et al.  Surrogate-based simulation optimization approach for day-to-day dynamics model calibration with real data , 2019, Transportation Research Part C: Emerging Technologies.

[25]  Yang Liu,et al.  DeepPF: A deep learning based architecture for metro passenger flow prediction , 2019, Transportation Research Part C: Emerging Technologies.

[26]  S. Labi,et al.  Understanding electric bike riders’ intention to violate traffic rules and accident proneness in China , 2021 .

[27]  Baibing Li.  Markov models for Bayesian analysis about transit route origin-destination matrices , 2009 .

[28]  Mark R. McCord,et al.  Estimating Transit Route OD Flow Matrices from APC Data on Multiple Bus Trips Using the IPF Method with an Iteratively Improved Base: Method and Empirical Evaluation , 2014 .

[29]  David M. J. Tax,et al.  Kernel Whitening for One-Class Classification , 2003, Int. J. Pattern Recognit. Artif. Intell..

[30]  Polly Huang,et al.  Sensor-assisted wi-fi indoor location system for adapting to environmental dynamics , 2005, MSWiM '05.

[31]  Wei Wang,et al.  Bus Passenger Origin-Destination Estimation and Related Analyses , 2011 .

[32]  Wei Wang,et al.  Modeling and predicting occupancy profile in office space with a Wi-Fi probe-based Dynamic Markov Time-Window Inference approach , 2017 .

[33]  Mark R. McCord,et al.  Iterative Proportional Fitting Procedure to Determine Bus Route Passenger Origin–Destination Flows , 2010 .

[34]  Ubejd Shala,et al.  Indoor Positioning using Sensor-fusion in Android Devices , 2011 .

[35]  Shuaian Wang,et al.  A static bike repositioning model in a hub-and-spoke network framework , 2020 .

[36]  Tor André Myrvoll,et al.  Statistical Modelling for Estimation of OD Matrices for Public Transport Using Wi-Fi and APC Data , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

[37]  David T. Ma,et al.  Exploring the impacts of travel-implied policy factors on COVID-19 spread within communities based on multi-source data interpretations , 2021, Health & Place.

[38]  Chunming Qiao,et al.  Urban Traffic Condition Estimation: Let WiFi Do It , 2016, 2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

[39]  Martin W. Traunmueller,et al.  Digital Traces: Modeling Urban Mobility using Wifi Probe Data , 2017 .