Introduction and Analysis of a Large-Scale Benchmark Automatic Vehicle Identification Dataset

[1]  Xianyuan Zhan,et al.  Speed profile estimation using license plate recognition data , 2017 .

[2]  Min Chen,et al.  A copula-based approach for estimating the travel time reliability of urban arterial , 2017 .

[3]  Shoufeng Ma,et al.  A stochastic program approach for path reconstruction oriented sensor location model , 2017 .

[4]  Jian Sun,et al.  Estimation of delay variability at signalized intersections for urban arterial performance evaluation , 2017, J. Intell. Transp. Syst..

[5]  Yongxi Huang,et al.  Heterogeneous sensor location model for path reconstruction , 2016 .

[6]  Yousef Shafahi,et al.  Vehicle identification sensor models for origin–destination estimation , 2016 .

[7]  Raffaele Cerulli,et al.  Vehicle-ID sensor location for route flow recognition: Models and algorithms , 2015, Eur. J. Oper. Res..

[8]  Edward Chung,et al.  Probabilistic travel time progression and its application to automatic vehicle identification data , 2015 .

[9]  W. Y. Szeto,et al.  A State-of-the-Art Review of the Sensor Location, Flow Observability, Estimation, and Prediction Problems in Traffic Networks , 2015, J. Sensors.

[10]  Jianhao Yang,et al.  Vehicle path reconstruction using automatic vehicle identification data: An integrated particle filter and path flow estimator , 2015 .

[11]  Ruimin Li,et al.  Lane-based real-time queue length estimation using license plate recognition data , 2015 .

[12]  Goran Turk,et al.  Using the robust statistics for travel time estimation on highways , 2015 .

[13]  Francesco Corman,et al.  Assessing partial observability in network sensor location problems , 2014 .

[14]  Shou-Ren Hu,et al.  A generalized sensor location model for the estimation of network origin–destination matrices , 2014 .

[15]  Haitham Al-Deek,et al.  Use of Data from Point Detectors and Automatic Vehicle Identification to Compare Instantaneous and Experienced Travel Times , 2014 .

[16]  Xuesong Zhou,et al.  Traffic state estimation and uncertainty quantification based on heterogeneous data sources: A three detector approach , 2013 .

[17]  Xuesong Zhou,et al.  Designing heterogeneous sensor networks for estimating and predicting path travel time dynamics: An information-theoretic modeling approach , 2013 .

[18]  Enrique Castillo,et al.  Observability of traffic networks. Optimal location of counting and scanning devices , 2013 .

[19]  Haris N. Koutsopoulos,et al.  Estimation of Arterial Travel Time from Automatic Number Plate Recognition Data , 2013 .

[20]  Monica Gentili,et al.  Locating sensors on traffic networks: Models, challenges and research opportunities , 2012 .

[21]  Enrique Castillo,et al.  Optimal traffic plate scanning location for OD trip matrix and route estimation in road networks , 2010 .

[22]  Monica Gentili,et al.  Location of vehicle identification sensors to monitor travel-time performance , 2009 .

[23]  Srinivas Peeta,et al.  Identification of vehicle sensor locations for link-based network traffic applications , 2009 .

[24]  Enrique Castillo,et al.  Trip matrix and path flow reconstruction and estimation based on plate scanning and link observations , 2008 .

[25]  Jitamitra Desai,et al.  A discrete optimization approach for locating Automatic Vehicle Identification readers for the provision of roadway travel times , 2006 .

[26]  P. G. Gipps,et al.  A behavioural car-following model for computer simulation , 1981 .

[27]  G. F. Newell.  Nonlinear Effects in the Dynamics of Car Following , 1961 .

[28]  M. Lighthill,et al.  On kinematic waves I. Flood movement in long rivers , 1955, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[29]  Junchen Jin,et al.  Prediction of arterial travel time considering delay in vehicle re-identification , 2017 .

[30]  Alexandre M. Bayen,et al.  Cellpath: Fusion of Cellular and Traffic Sensor Data for Route Flow Estimation via Convex Optimization , 2015 .

[31]  Mohamed Abdel-Aty,et al.  A data fusion framework for real-time risk assessment on freeways , 2013 .

[32]  E. Castillo,et al.  A Bayesian method for estimating traffic flows based on plate scanning , 2013 .

[33]  Masao Kuwahara,et al.  Implementing kinematic wave theory to reconstruct vehicle trajectories from fixed and probe sensor data , 2011 .

[34]  Yanfeng Ouyang,et al.  Reliable sensor deployment for network traffic surveillance , 2011 .

[35]  Monica Gentili,et al.  Locating Active Sensors on Traffic Networks , 2005, Ann. Oper. Res..