| Heuristic shortest path algorithms for transportation applications: State of the art L Fu, D Sun, LR Rilett Computers & Operations Research 33 (11), 3324-3343, 2006 | 491 | 2006 |
| Expected shortest paths in dynamic and stochastic traffic networks L Fu, LR Rilett Transportation Research Part B: Methodological 32 (7), 499-516, 1998 | 452 | 1998 |
| Real-time optimization model for dynamic scheduling of transit operations L Fu, Q Liu, P Calamai Transportation research record 1857 (1), 48-55, 2003 | 288 | 2003 |
| Effect of winter weather and road surface conditions on macroscopic traffic parameters TJ Kwon, L Fu, C Jiang Transportation research record 2329 (1), 54-62, 2013 | 273* | 2013 |
| A latent class modeling approach for identifying vehicle driver injury severity factors at highway-railway crossings N Eluru, M Bagheri, LF Miranda-Moreno, L Fu Accident Analysis & Prevention 47, 119-127, 2012 | 265 | 2012 |
| Quantifying safety benefit of winter road maintenance: Accident frequency modeling T Usman, L Fu, LF Miranda-Moreno Accident Analysis & Prevention 42 (6), 1878-1887, 2010 | 236 | 2010 |
| Identification of crash hotspots using kernel density estimation and kriging methods: a comparison L Thakali, TJ Kwon, L Fu Journal of Modern Transportation 23 (2), 93-106, 2015 | 234 | 2015 |
| An adaptive routing algorithm for in-vehicle route guidance systems with real-time information L Fu Transportation Research Part B: Methodological 35 (8), 749-765, 2001 | 222 | 2001 |
| Design and implementation of bus–holding control strategies with real-time information L Fu, X Yang Transportation research record 1791 (1), 6-12, 2002 | 203 | 2002 |
| Scheduling dial-a-ride paratransit under time-varying, stochastic congestion L Fu Transportation Research Part B: Methodological 36 (6), 485-506, 2002 | 191 | 2002 |
| Predicting bus arrival time on the basis of global positioning system data D Sun, H Luo, L Fu, W Liu, X Liao, M Zhao Transportation Research Record 2034 (1), 62-72, 2007 | 184 | 2007 |
| Decomposing travel times measured by probe-based traffic monitoring systems to individual road segments B Hellinga, P Izadpanah, H Takada, L Fu Transportation Research Part C: Emerging Technologies 16 (6), 768-782, 2008 | 164 | 2008 |
| Reducing bias in probe-based arterial link travel time estimates BR Hellinga, L Fu Transportation Research Part C: Emerging Technologies 10 (4), 257-273, 2002 | 162 | 2002 |
| Alternative risk models for ranking locations for safety improvement LF Miranda-Moreno, L Fu, FF Saccomanno, A Labbe Transportation Research Record 1908 (1), 1-8, 2005 | 156 | 2005 |
| A deep learning approach for multi-attribute data: A study of train delay prediction in railway systems P Huang, C Wen, L Fu, Q Peng, Y Tang Information Sciences 516, 234-253, 2020 | 146 | 2020 |
| An automatic image recognition system for winter road surface condition classification R Omer, L Fu 13th international IEEE conference on intelligent transportation systems …, 2010 | 142 | 2010 |
| A hybrid Bayesian network model for predicting delays in train operations J Lessan, L Fu, C Wen Computers & Industrial Engineering 127, 1214-1222, 2019 | 132 | 2019 |
| A simulation model for evaluating advanced dial-a-ride paratransit systems L Fu Transportation Research Part A: Policy and Practice 36 (4), 291-307, 2002 | 130 | 2002 |
| A new performance index for evaluating transit quality of service L Fu, Y Xin Journal of public transportation 10 (3), 47-69, 2007 | 129 | 2007 |
| A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns Q Shangguan, T Fu, J Wang, S Fang, L Fu Accident Analysis & Prevention 164, 106500, 2022 | 117 | 2022 |
Luis Miranda-MorenoDepartment of Civil Engineering, McGill UniversityVerified email at mcgill.ca
