A review on image segmentation techniques with remote sensing perspective V Dey, Y Zhang, M Zhong na 38, 31-42, 2010 | 345 | 2010 |
Estimation of missing traffic counts using factor, genetic, neural, and regression techniques M Zhong, P Lingras, S Sharma Transportation Research Part C: Emerging Technologies 12 (2), 139-166, 2004 | 210 | 2004 |
Object-based classification of urban areas using VHR imagery and height points ancillary data B Salehi, Y Zhang, M Zhong, V Dey Remote Sensing 4 (8), 2256-2276, 2012 | 139 | 2012 |
Genetically designed models for accurate imputation of missing traffic counts M Zhong, S Sharma, P Lingras Transportation Research Record 1879 (1), 71-79, 2004 | 122 | 2004 |
Prediction of recreational travel using genetically designed regression and time-delay neural network models P Lingras, S Sharma, M Zhong Transportation Research Record 1805 (1), 16-24, 2002 | 94 | 2002 |
A method of vehicle motion prediction and collision risk assessment with a simulated vehicular cyber physical system C Wu, L Peng, Z Huang, M Zhong, D Chu Transportation Research Part C: Emerging Technologies 47, 179-191, 2014 | 82 | 2014 |
Dangerous driving behavior detection using video-extracted vehicle trajectory histograms Z Chen, C Wu, Z Huang, N Lyu, Z Hu, M Zhong, Y Cheng, B Ran Journal of Intelligent Transportation Systems 21 (5), 409-421, 2017 | 74 | 2017 |
Feature selection with redundancy-complementariness dispersion Z Chen, C Wu, Y Zhang, Z Huang, B Ran, M Zhong, N Lyu Knowledge-Based Systems 89, 203-217, 2015 | 70 | 2015 |
Short-term traffic prediction on different types of roads with genetically designed regression and time delay neural network models M Zhong, S Sharma, P Lingras Journal of computing in civil engineering 19 (1), 94-103, 2005 | 70 | 2005 |
Automatic moving vehicles information extraction from single-pass WorldView-2 imagery B Salehi, Y Zhang, M Zhong IEEE Journal of selected topics in applied earth observations and remote …, 2012 | 62 | 2012 |
GIS-based travel demand modeling for estimating traffic on low-class roads M Zhong, BL Hanson Transportation planning and technology 32 (5), 423-439, 2009 | 57 | 2009 |
Identification of common features of vehicle motion under drowsy/distracted driving: A case study in Wuhan, China Z Chen, C Wu, M Zhong, N Lyu, Z Huang Accident Analysis & Prevention 81, 251-259, 2015 | 53 | 2015 |
Studying differences of household weekday and weekend activities: a duration perspective M Zhong, JD Hunt, X Lu Transportation research record 2054 (1), 28-36, 2008 | 49 | 2008 |
A review of the effectiveness of spatial information used in urban land cover classification of VHR imagery B Salehi, Y Ming Zhong, V Dey International Journal of Geoinformatics 8 (2), 35, 2012 | 48 | 2012 |
Assessing robustness of imputation models based on data from different jurisdictions: Examples of Alberta and Saskatchewan, Canada M Zhong, S Sharma, Z Liu Transportation research record 1917 (1), 116-126, 2005 | 43 | 2005 |
An improved Dial's algorithm for logit-based traffic assignment within a directed acyclic network BF Si, M Zhong, HZ Zhang, WL Jin Transportation planning and technology 33 (2), 123-137, 2010 | 40 | 2010 |
Refining genetically designed models for improved traffic prediction on rural roads M Zhong, S Sharma, P Lingras Transportation planning and technology 28 (3), 213-236, 2005 | 39 | 2005 |
Development of a transfer‐cost‐based logit assignment model for the Beijing rail transit network using automated fare collection data B Si, M Zhong, J Liu, Z Gao, J Wu Journal of Advanced Transportation 47 (3), 297-318, 2013 | 38 | 2013 |
Link resistance function of urban mixed traffic network SI Bingfeng, M Zhong, GAO Ziyou Journal of Transportation Systems Engineering and Information Technology 8 …, 2008 | 38 | 2008 |
Anomalous urban mobility pattern detection based on GPS trajectories and POI data Z Xu, G Cui, M Zhong, X Wang ISPRS International Journal of Geo-Information 8 (7), 308, 2019 | 32 | 2019 |