| Year |
Citation |
Score |
| 2020 |
Kim T, Sharda S, Zhou X, Pendyala RM. A stepwise interpretable machine learning framework using linear regression (LR) and long short-term memory (LSTM): City-wide demand-side prediction of yellow taxi and for-hire vehicle (FHV) service Transportation Research Part C-Emerging Technologies. 120: 102786. DOI: 10.1016/J.Trc.2020.102786 |
0.383 |
|
| 2020 |
Liu J, Mirchandani P, Zhou X. Integrated vehicle assignment and routing for system-optimal shared mobility planning with endogenous road congestion Transportation Research Part C-Emerging Technologies. 117: 102675. DOI: 10.1016/J.Trc.2020.102675 |
0.526 |
|
| 2020 |
Lu W, Liu L, Wang F, Zhou X, Hu G. Two-phase optimization model for ride-sharing with transfers in short-notice evacuations Transportation Research Part C-Emerging Technologies. 114: 272-296. DOI: 10.1016/J.Trc.2020.02.020 |
0.517 |
|
| 2020 |
Li L, Jiang R, He Z, Chen X(, Zhou X. Trajectory data-based traffic flow studies: A revisit Transportation Research Part C-Emerging Technologies. 114: 225-240. DOI: 10.1016/J.Trc.2020.02.016 |
0.385 |
|
| 2020 |
Chen X, He S, Zhang Y, Tong L(, Shang P, Zhou X. Yard crane and AGV scheduling in automated container terminal: A multi-robot task allocation framework Transportation Research Part C-Emerging Technologies. 114: 241-271. DOI: 10.1016/J.Trc.2020.02.012 |
0.454 |
|
| 2020 |
Wang P(, Li P(, Chowdhury FR, Zhang L, Zhou X. A mixed integer programming formulation and scalable solution algorithms for traffic control coordination across multiple intersections based on vehicle space-time trajectories Transportation Research Part B-Methodological. 134: 266-304. DOI: 10.1016/J.Trb.2020.01.006 |
0.513 |
|
| 2019 |
Sun J, Guo J, Wu X, Zhu Q, Wu D, Xian K, Zhou X. Analyzing the Impact of Traffic Congestion Mitigation: From an Explainable Neural Network Learning Framework to Marginal Effect Analyses. Sensors (Basel, Switzerland). 19. PMID 31096706 DOI: 10.3390/S19102254 |
0.442 |
|
| 2019 |
Chen Z, Li X, Zhou X. Operational design for shuttle systems with modular vehicles under oversaturated traffic: Continuous modeling method Transportation Research Part B-Methodological. 38: 359-379. DOI: 10.1016/J.Trpro.2019.05.020 |
0.465 |
|
| 2019 |
Xiong C, Shahabi M, Zhao J, Yin Y, Zhou X, Zhang L. An integrated and personalized traveler information and incentive scheme for energy efficient mobility systems Transportation Research Procedia. 38: 160-179. DOI: 10.1016/J.Trpro.2019.05.010 |
0.357 |
|
| 2019 |
Mahmoudi M, Chen J, Shi T, Zhang Y, Zhou X. A cumulative service state representation for the pickup and delivery problem with transfers Transportation Research Part B-Methodological. 129: 351-380. DOI: 10.1016/J.Trb.2019.09.015 |
0.506 |
|
| 2019 |
Yao Y, Zhu X, Dong H, Wu S, Wu H, Tong LC, Zhou X. ADMM-based problem decomposition scheme for vehicle routing problem with time windows Transportation Research Part B-Methodological. 129: 156-174. DOI: 10.1016/J.Trb.2019.09.009 |
0.497 |
|
| 2019 |
Liu J, Zhou X. Observability quantification of public transportation systems with heterogeneous data sources: An information-space projection approach based on discretized space-time network flow models Transportation Research Part B-Methodological. 128: 302-323. DOI: 10.1016/J.Trb.2019.08.011 |
0.472 |
|
| 2019 |
Zhang Y, Peng Q, Yao Y, Zhang X, Zhou X. Solving cyclic train timetabling problem through model reformulation: Extended time-space network construct and Alternating Direction Method of Multipliers methods Transportation Research Part B-Methodological. 128: 344-379. DOI: 10.1016/J.Trb.2019.08.001 |
0.508 |
|
| 2019 |
Meng L, Zhou X. An integrated train service plan optimization model with variable demand: A team-based scheduling approach with dual cost information in a layered network Transportation Research Part B-Methodological. 125: 1-28. DOI: 10.1016/J.Trb.2019.02.017 |
0.414 |
|
| 2019 |
Shang P, Li R, Guo J, Xian K, Zhou X. Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach Transportation Research Part B-Methodological. 121: 135-167. DOI: 10.1016/J.Trb.2018.12.015 |
0.494 |
|
| 2019 |
Mahmoudi M, Song Y, Miller HJ, Zhou X. Accessibility with time and resource constraints: Computing hyper-prisms for sustainable transportation planning Computers, Environment and Urban Systems. 73: 171-183. DOI: 10.1016/J.Compenvurbsys.2018.10.002 |
0.478 |
|
| 2019 |
Lu G, Zhou X, Mahmoudi M, Shi T, Peng Q. Optimizing resource recharging location-routing plans: A resource-space-time network modeling framework for railway locomotive refueling applications Computers & Industrial Engineering. 127: 1241-1258. DOI: 10.1016/J.Cie.2018.03.015 |
0.514 |
|
| 2019 |
Tong L, Pan Y, Shang P, Guo J, Xian K, Zhou X. Open-Source Public Transportation Mobility Simulation Engine DTALite-S: A Discretized Space–Time Network-Based Modeling Framework for Bridging Multi-agent Simulation and Optimization Urban Rail Transit. 5: 1-16. DOI: 10.1007/S40864-018-0100-X |
0.511 |
|
| 2019 |
Yin J, Yang L, Zhou X, Tang T, Gao Z. Balancing a one‐way corridor capacity and safety‐oriented reliability: A stochastic optimization approach for metro train timetabling Naval Research Logistics. 66: 297-320. DOI: 10.1002/Nav.21847 |
0.314 |
|
| 2018 |
Wu X, Guo J, Xian K, Zhou X. Hierarchical travel demand estimation using multiple data sources: A forward and backward propagation algorithmic framework on a layered computational graph Transportation Research Part C-Emerging Technologies. 96: 321-346. DOI: 10.1016/J.Trc.2018.09.021 |
0.443 |
|
| 2018 |
Meng L, Corman F, Zhou X, Tang T. Special issue on Integrated optimization models and algorithms in rail planning and control Transportation Research Part C-Emerging Technologies. 88: 87-90. DOI: 10.1016/J.Trc.2018.01.003 |
0.345 |
|
| 2018 |
Li S, Zhou X, Yang L, Gao Z. Automatic train regulation of complex metro networks with transfer coordination constraints: A distributed optimal control framework Transportation Research Part B-Methodological. 117: 228-253. DOI: 10.1016/J.Trb.2018.09.001 |
0.456 |
|
| 2018 |
Niu H, Zhou X, Tian X. Coordinating assignment and routing decisions in transit vehicle schedules: A variable-splitting Lagrangian decomposition approach for solution symmetry breaking Transportation Research Part B-Methodological. 107: 70-101. DOI: 10.1016/J.Trb.2017.11.003 |
0.388 |
|
| 2018 |
Zhou X, Tong L, Mahmoudi M, Zhuge L, Yao Y, Zhang Y, Shang P, Liu J, Shi T. Open-source VRPLite Package for Vehicle Routing with Pickup and Delivery: A Path Finding Engine for Scheduled Transportation Systems Urban Rail Transit. 4: 68-85. DOI: 10.1007/S40864-018-0083-7 |
0.485 |
|
| 2018 |
Lu K, Han B, Zhou X. Smart Urban Transit Systems: From Integrated Framework to Interdisciplinary Perspective Urban Rail Transit. 4: 49-67. DOI: 10.1007/S40864-018-0080-X |
0.388 |
|
| 2018 |
Sun Y, Wang D, Lang M, Zhou X. Solving the time-dependent multi-trip vehicle routing problem with time windows and an improved travel speed model by a hybrid solution algorithm Cluster Computing. 22: 15459-15470. DOI: 10.1007/s10586-018-2637-6 |
0.333 |
|
| 2017 |
Liu J, Kang JE, Zhou X, Pendyala R. Network-oriented household activity pattern problem for system optimization Transportation Research Procedia. 23: 827-847. DOI: 10.1016/J.Trpro.2017.05.046 |
0.522 |
|
| 2017 |
Tong L(, Zhou L, Liu J, Zhou X. Customized bus service design for jointly optimizing passenger-to-vehicle assignment and vehicle routing Transportation Research Part C-Emerging Technologies. 85: 451-475. DOI: 10.1016/J.Trc.2017.09.022 |
0.513 |
|
| 2017 |
Li M, Rouphail NM, Mahmoudi M, Liu J, Zhou X. Multi-scenario optimization approach for assessing the impacts of advanced traffic information under realistic stochastic capacity distributions Transportation Research Part C: Emerging Technologies. 77: 113-133. DOI: 10.1016/J.Trc.2017.01.019 |
0.471 |
|
| 2017 |
Qu Y, Zhou X. Large-scale dynamic transportation network simulation: A space-time-event parallel computing approach Transportation Research Part C-Emerging Technologies. 75: 1-16. DOI: 10.1016/J.Trc.2016.12.003 |
0.402 |
|
| 2017 |
Wei Y, Avcı C, Liu J, Belezamo B, Aydın N, Li P, Zhou X. Dynamic programming-based multi-vehicle longitudinal trajectory optimization with simplified car following models Transportation Research Part B-Methodological. 106: 102-129. DOI: 10.1016/J.Trb.2017.10.012 |
0.444 |
|
| 2017 |
Li P(, Zhou X. Recasting and optimizing intersection automation as a connected-and-automated-vehicle (CAV) scheduling problem: A sequential branch-and-bound search approach in phase-time-traffic hypernetwork Transportation Research Part B-Methodological. 105: 479-506. DOI: 10.1016/J.Trb.2017.09.020 |
0.485 |
|
| 2017 |
Zhou L, Tong L(, Chen J, Tang J, Zhou X. Joint optimization of high-speed train timetables and speed profiles: A unified modeling approach using space-time-speed grid networks Transportation Research Part B-Methodological. 97: 157-181. DOI: 10.1016/J.Trb.2017.01.002 |
0.43 |
|
| 2017 |
Yang L, Zhou X. Optimizing on-time arrival probability and percentile travel time for elementary path finding in time-dependent transportation networks: Linear mixed integer programming reformulations Transportation Research Part B-Methodological. 96: 68-91. DOI: 10.1016/J.Trb.2016.11.012 |
0.523 |
|
| 2017 |
Xiong C, Zhou X, Zhang L. AgBM-DTALite: An integrated modelling system of agent-based travel behaviour and transportation network dynamics Travel Behaviour and Society. 12: 141-150. DOI: 10.1016/J.Tbs.2017.04.004 |
0.502 |
|
| 2017 |
Song Y, Miller HJ, Stempihar J, Zhou X. Green accessibility: Estimating the environmental costs of network-time prisms for sustainable transportation planning Journal of Transport Geography. 64: 109-119. DOI: 10.1016/J.Jtrangeo.2017.08.008 |
0.448 |
|
| 2017 |
Li W, Yang L, Wang L, Zhou X, Liu R, Gao Z. Eco-reliable path finding in time-variant and stochastic networks Energy. 121: 372-387. DOI: 10.1016/J.Energy.2017.01.008 |
0.528 |
|
| 2016 |
Song Y, Miller HJ, Zhou X, Proffitt D. Modeling Visit Probabilities within Network‐Time Prisms Using Markov Techniques Geographical Analysis. 48: 18-42. DOI: 10.1111/Gean.12076 |
0.455 |
|
| 2016 |
Li M, Zhou X, Rouphail NM. Quantifying travel time variability at a single bottleneck based on stochastic capacity and demand distributions Journal of Intelligent Transportation Systems. 21: 79-93. DOI: 10.1080/15472450.2016.1163639 |
0.433 |
|
| 2016 |
Vallamsundar S, Lin J, Konduri K, Zhou X, Pendyala RM. A comprehensive modeling framework for transportation-induced population exposure assessment Transportation Research Part D: Transport and Environment. 46: 94-113. DOI: 10.1016/J.Trd.2016.03.009 |
0.357 |
|
| 2016 |
Wang L, Yang L, Gao Z, Li S, Zhou X. Evacuation planning for disaster responses: A stochastic programming framework Transportation Research Part C-Emerging Technologies. 69: 150-172. DOI: 10.1016/J.Trc.2016.05.022 |
0.462 |
|
| 2016 |
Tang J, Song Y, Miller HJ, Zhou X. Estimating the most likely space-time paths, dwell times and path uncertainties from vehicle trajectory data: A time geographic method Transportation Research Part C: Emerging Technologies. 66: 176-194. DOI: 10.1016/J.Trc.2015.08.014 |
0.516 |
|
| 2016 |
Ma J, Smith BL, Zhou X. Personalized real-time traffic information provision: Agent-based optimization model and solution framework Transportation Research Part C-Emerging Technologies. 64: 164-182. DOI: 10.1016/J.Trc.2015.03.004 |
0.485 |
|
| 2016 |
Lu CC, Liu J, Qu Y, Peeta S, Rouphail NM, Zhou X. Eco-system optimal time-dependent flow assignment in a congested network Transportation Research Part B: Methodological. 94: 217-239. DOI: 10.1016/J.Trb.2016.09.015 |
0.68 |
|
| 2016 |
Liu J, Zhou X. Capacitated transit service network design with boundedly rational agents Transportation Research Part B: Methodological. 93: 225-250. DOI: 10.1016/J.Trb.2016.07.015 |
0.518 |
|
| 2016 |
Mahmoudi M, Zhou X. Finding optimal solutions for vehicle routing problem with pickup and delivery services with time windows: A dynamic programming approach based on state-space-time network representations Transportation Research Part B: Methodological. 89: 19-42. DOI: 10.1016/J.Trb.2016.03.009 |
0.533 |
|
| 2016 |
Ruan JM, Liu B, Wei H, Qu Y, Zhu N, Zhou X. How Many and Where to Locate Parking Lots? A Space–time Accessibility-Maximization Modeling Framework for Special Event Traffic Management Urban Rail Transit. 2: 59-70. DOI: 10.1007/S40864-016-0038-9 |
0.489 |
|
| 2015 |
Zhang J, Jia L, Niu S, Zhang F, Tong L, Zhou X. A Space-Time Network-Based Modeling Framework for Dynamic Unmanned Aerial Vehicle Routing in Traffic Incident Monitoring Applications. Sensors (Basel, Switzerland). 15: 13874-98. PMID 26076404 DOI: 10.3390/S150613874 |
0.532 |
|
| 2015 |
Li P, Mirchandani P, Zhou X. Hierarchical Multiresolution Traffic Simulator for Metropolitan Areas: Architecture, Challenges, and Solutions Transportation Research Record. 2497: 63-72. DOI: 10.3141/2497-07 |
0.439 |
|
| 2015 |
Niu H, Tian X, Zhou X. Demand-Driven Train Schedule Synchronization for High-Speed Rail Lines Ieee Transactions On Intelligent Transportation Systems. 16: 2642-2652. DOI: 10.1109/Tits.2015.2415513 |
0.402 |
|
| 2015 |
Lei H, Zhou X, List GF, Taylor J. Characterizing corridor-level travel time distributions based on stochastic flows and segment capacities Cogent Engineering. 2: 990672. DOI: 10.1080/23311916.2014.990672 |
0.443 |
|
| 2015 |
Zhou X, Tanvir S, Lei H, Taylor J, Liu B, Rouphail NM, Frey HC. Integrating a simplified emission estimation model and mesoscopic dynamic traffic simulator to efficiently evaluate emission impacts of traffic management strategies Transportation Research Part D: Transport and Environment. 37: 123-136. DOI: 10.1016/J.Trd.2015.04.013 |
0.454 |
|
| 2015 |
Dong H, Wu M, Ding X, Chu L, Jia L, Qin Y, Zhou X. Traffic zone division based on big data from mobile phone base stations Transportation Research Part C-Emerging Technologies. 58: 278-291. DOI: 10.1016/J.Trc.2015.06.007 |
0.429 |
|
| 2015 |
Przybyla J, Taylor J, Jupe J, Zhou X. Estimating risk effects of driving distraction: a dynamic errorable car-following model Transportation Research Part C-Emerging Technologies. 50: 117-129. DOI: 10.1016/J.Trc.2014.07.013 |
0.409 |
|
| 2015 |
Li P, Mirchandani P, Zhou X. Solving simultaneous route guidance and traffic signal optimization problem using space-phase-time hypernetwork Transportation Research Part B: Methodological. 81: 103-130. DOI: 10.1016/J.Trb.2015.08.011 |
0.486 |
|
| 2015 |
Tong L, Zhou X, Miller HJ. Transportation network design for maximizing space-time accessibility Transportation Research Part B: Methodological. 81: 555-576. DOI: 10.1016/J.Trb.2015.08.002 |
0.498 |
|
| 2015 |
Shi T, Zhou X. A mixed integer programming model for optimizing multi-level operations process in railroad yards Transportation Research Part B: Methodological. 80: 19-39. DOI: 10.1016/J.Trb.2015.06.007 |
0.421 |
|
| 2015 |
Niu H, Zhou X, Gao R. Train scheduling for minimizing passenger waiting time with time-dependent demand and skip-stop patterns: Nonlinear integer programming models with linear constraints Transportation Research Part B-Methodological. 76: 117-135. DOI: 10.1016/J.Trb.2015.03.004 |
0.427 |
|
| 2015 |
Taylor J, Zhou X, Rouphail NM, Porter RJ. Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach Transportation Research Part B: Methodological. 73: 59-80. DOI: 10.1016/J.Trb.2014.12.009 |
0.456 |
|
| 2015 |
Meng L, Luan X, Zhou X. A Train Dispatching Model Under a Stochastic Environment: Stable Train Routing Constraints and Reformulation Networks and Spatial Economics. DOI: 10.1007/S11067-015-9299-1 |
0.419 |
|
| 2015 |
Zlatkovic M, Zhou X. Integration of signal timing estimation model and dynamic traffic assignment in feedback loops: system design and case study Journal of Advanced Transportation. 49: 683-699. DOI: 10.1002/Atr.1295 |
0.462 |
|
| 2014 |
Lei H, Zhou X. Linear Programming Model for Estimating High-Resolution Freeway Traffic States from Vehicle Identification and Location Data Transportation Research Record. 2421: 151-160. DOI: 10.3141/2421-17 |
0.456 |
|
| 2014 |
Tasic I, Zhou X, Zlatkovic M. Use of spatiotemporal constraints to quantify Transit accessibility: Case study of potential transit-oriented development in West Valley City, Utah Transportation Research Record. 2417: 130-138. DOI: 10.3141/2417-14 |
0.368 |
|
| 2014 |
Zhou X, Taylor J. DTALite: A queue-based mesoscopic traffic simulator for fast model evaluation and calibration Cogent Engineering. 1: 961345. DOI: 10.1080/23311916.2014.961345 |
0.485 |
|
| 2014 |
Lu CJ, Zhou X. Short-Term Highway Traffic State Prediction Using Structural State Space Models Journal of Intelligent Transportation Systems. 18: 309-322. DOI: 10.1080/15472450.2013.836929 |
0.386 |
|
| 2014 |
Meng L, Zhou X. Simultaneous train rerouting and rescheduling on an N-track network: A model reformulation with network-based cumulative flow variables Transportation Research Part B-Methodological. 67: 208-234. DOI: 10.1016/J.Trb.2014.05.005 |
0.438 |
|
| 2014 |
Yang L, Zhou X. Constraint reformulation and a Lagrangian relaxation-based solution algorithm for a least expected time path problem Transportation Research Part B-Methodological. 59: 22-44. DOI: 10.1016/J.Trb.2013.10.012 |
0.45 |
|
| 2014 |
Yang L, Zhou X, Gao Z. Credibility-based rescheduling model in a double-track railway network: a fuzzy reliable optimization approach Omega-International Journal of Management Science. 48: 75-93. DOI: 10.1016/J.Omega.2013.11.004 |
0.456 |
|
| 2013 |
Xing T, Zhou X. Reformulation and Solution Algorithms for Absolute and Percentile Robust Shortest Path Problems Ieee Transactions On Intelligent Transportation Systems. 14: 943-954. DOI: 10.1109/Tits.2013.2250966 |
0.481 |
|
| 2013 |
Niu H, Zhou X. Optimizing urban rail timetable under time-dependent demand and oversaturated conditions Transportation Research Part C: Emerging Technologies. 36: 212-230. DOI: 10.1016/J.Trc.2013.08.016 |
0.442 |
|
| 2013 |
Lu CC, Zhou X, Zhang K. Dynamic origin-destination demand flow estimation under congested traffic conditions Transportation Research Part C-Emerging Technologies. 34: 16-37. DOI: 10.1016/J.Trc.2013.05.006 |
0.643 |
|
| 2013 |
Xing T, Zhou X, Taylor J. Designing heterogeneous sensor networks for estimating and predicting path travel time dynamics: An information-theoretic modeling approach Transportation Research Part B-Methodological. 57: 66-90. DOI: 10.1016/J.Trb.2013.09.007 |
0.461 |
|
| 2013 |
Deng W, Lei H, Zhou X. Traffic state estimation and uncertainty quantification based on heterogeneous data sources: A three detector approach Transportation Research Part B-Methodological. 57: 132-157. DOI: 10.1016/J.Trb.2013.08.015 |
0.419 |
|
| 2012 |
Jia A, Zhou X, Rouphail N. Traffic mobility impact of mileage-based user fees on traveler route choice behavior and network performance Transportation Research Record. 164-173. DOI: 10.3141/2302-18 |
0.447 |
|
| 2012 |
Lei H, Xing T, Taylor JD, Zhou X. Monitoring Travel Time Reliability from the Cloud Transportation Research Record. 2291: 35-43. DOI: 10.3141/2291-05 |
0.383 |
|
| 2011 |
Reynolds WL, Rouphail NM, Zhou X. Turn pocket blockage and spillback models: Applications for signal timing and capacity analysis Transportation Research Record. 112-122. DOI: 10.3141/2259-10 |
0.349 |
|
| 2011 |
Jia A, Zhou X, Li M, Rouphail NM, Williams BM. Incorporating stochastic road capacity into day-to-day traffic simulation and traveler learning framework: Model development and case study Transportation Research Record. 112-121. DOI: 10.3141/2254-12 |
0.505 |
|
| 2011 |
Kittelson WK, Rouphail NM, Williams BM, Zhou X. Analyzing operational improvements as an alternative to traditional highway construction Transportation Research Record. 18-25. DOI: 10.3141/2223-03 |
0.382 |
|
| 2011 |
Chen X, Zhou X, List GF. Using time-varying tolls to optimize truck arrivals at ports Transportation Research Part E: Logistics and Transportation Review. 47: 965-982. DOI: 10.1016/J.Tre.2011.04.001 |
0.422 |
|
| 2011 |
Xing T, Zhou X. Finding the most reliable path with and without link travel time correlation: A Lagrangian substitution based approach Transportation Research Part B-Methodological. 45: 1660-1679. DOI: 10.1016/J.Trb.2011.06.004 |
0.492 |
|
| 2011 |
Meng L, Zhou X. Robust single-track train dispatching model under a dynamic and stochastic environment: A scenario-based rolling horizon solution approach Transportation Research Part B-Methodological. 45: 1080-1102. DOI: 10.1016/J.Trb.2011.05.001 |
0.437 |
|
| 2010 |
Przybyla J, Taylor J, Zhou X. Locating sensors for detecting source-to-target patterns of special nuclear material smuggling: a spatial information theoretic approach. Sensors (Basel, Switzerland). 10: 8070-91. PMID 22163641 DOI: 10.3390/S100908070 |
0.358 |
|
| 2010 |
Reynolds WL, Zhou X, Rouphail NM, Li M. Estimating sustained service rates at signalized intersections with short left-turn pockets: Mesoscopic approach Transportation Research Record. 64-71. DOI: 10.3141/2173-08 |
0.386 |
|
| 2010 |
Zhou X, List GF. An information-theoretic sensor location model for traffic origin-destination demand estimation applications Transportation Science. 44: 254-273. DOI: 10.1287/Trsc.1100.0319 |
0.408 |
|
| 2010 |
Khan MB, Zhou X. Stochastic Optimization Model and Solution Algorithm for Robust Double-Track Train-Timetabling Problem Ieee Transactions On Intelligent Transportation Systems. 11: 81-89. DOI: 10.1109/Tits.2009.2030588 |
0.464 |
|
| 2009 |
Hu H, Williams BM, Rouphail NM, Khattak AJ, Zhou X. Modeling the role of transportation information in mitigating major capacity reductions in a regional network Transportation Research Record. 75-84. DOI: 10.3141/2138-11 |
0.438 |
|
| 2009 |
Lu CC, Mahmassani HS, Zhou X. Equivalent gap function-based reformulation and solution algorithm for the dynamic user equilibrium problem Transportation Research Part B: Methodological. 43: 345-364. DOI: 10.1016/J.Trb.2008.07.005 |
0.648 |
|
| 2008 |
Lu CC, Mahmassani HS, Zhou X. A bi-criterion dynamic user equilibrium traffic assignment model and solution algorithm for evaluating dynamic road pricing strategies Transportation Research Part C: Emerging Technologies. 16: 371-389. DOI: 10.1016/J.Trc.2007.08.002 |
0.669 |
|
| 2008 |
Zhou X, Mahmassani HS, Zhang K. Dynamic micro-assignment modeling approach for integrated multimodal urban corridor management Transportation Research Part C: Emerging Technologies. 16: 167-186. DOI: 10.1016/J.Trc.2007.07.002 |
0.732 |
|
| 2007 |
Chiu Y, Zhou X, Hernandez J. Evaluating Urban Downtown One-Way to Two-Way Street Conversion Using Multiple Resolution Simulation and Assignment Approach Journal of Urban Planning and Development. 133: 222-232. DOI: 10.1061/(ASCE)0733-9488(2007)133:4(222) |
0.598 |
|
| 2007 |
Zhou X, Mahmassani HS. A structural state space model for real-time traffic origin-destination demand estimation and prediction in a day-to-day learning framework Transportation Research Part B: Methodological. 41: 823-840. DOI: 10.1016/J.Trb.2007.02.004 |
0.637 |
|
| 2007 |
Zhou X, Zhong M. Single-Track Train Timetabling with Guaranteed Optimality: Branch-and-Bound Algorithms with Enhanced Lower Bounds Transportation Research Part B-Methodological. 41: 320-341. DOI: 10.1016/J.Trb.2006.05.003 |
0.419 |
|
| 2006 |
Eisenman SM, Fei X, Zhou X, Mahmassani HS. Number and location of sensors for real-time network traffic estimation and prediction: Sensitivity analysis Transportation Research Record. 253-259. DOI: 10.3141/1964-28 |
0.677 |
|
| 2006 |
Zhou X, Erdoǧan S, Mahmassani HS. Dynamic origin-destination trip demand estimation for subarea analysis Transportation Research Record. 176-184. DOI: 10.3141/1964-19 |
0.618 |
|
| 2006 |
Lu CC, Zhou X, Mahmassani HS. Variable toll pricing and heterogeneous users: Model and solution algorithm for bicriterion dynamic traffic assignment problem Transportation Research Record. 19-26. DOI: 10.3141/1964-03 |
0.657 |
|
| 2006 |
Zhou X, Mahmassani HS. Dynamic origin-destination demand estimation using automatic vehicle identification data Ieee Transactions On Intelligent Transportation Systems. 7: 105-114. DOI: 10.1109/Tits.2006.869629 |
0.579 |
|
| 2005 |
Zhou X, Mahmassani HS. Online consistency checking and origin-destination demand updating: Recursive approaches with real-time dynamic traffic assignment operator Transportation Research Record. 218-226. DOI: 10.3141/1923-23 |
0.655 |
|
| 2005 |
Mahmassani HS, Zhou X, Lu CC. Toll pricing and heterogeneous users: Approximation algorithms for finding bicriterion time-dependent efficient paths in large-scale traffic networks Transportation Research Record. 28-36. DOI: 10.3141/1923-04 |
0.647 |
|
| 2005 |
Zhou X, Mahmassani HS. Online Consistency Checking and Origin–Destination Demand Updating Transportation Research Record: Journal of the Transportation Research Board. 1923: 218-226. DOI: 10.1177/0361198105192300123 |
0.407 |
|
| 2005 |
Mahmassani HS, Zhou X, Lu C. Toll Pricing and Heterogeneous Users Transportation Research Record: Journal of the Transportation Research Board. 1923: 28-36. DOI: 10.1177/0361198105192300104 |
0.402 |
|
| 2005 |
Zhou X, Zhong M. Bicriteria train scheduling for high-speed passenger railroad planning applications European Journal of Operational Research. 167: 752-771. DOI: 10.1016/J.Ejor.2004.07.019 |
0.432 |
|
| 2003 |
Zhou X, Qin X, Mahmassani HS. Dynamic Origin-Destination Demand Estimation with Multiday Link Traffic Counts for Planning Applications Transportation Research Record. 30-38. DOI: 10.3141/1831-04 |
0.695 |
|
| 2002 |
Zhou X, Mahmassani HS. Dynamic programming approach for online freeway flow propagation adjustment Transportation Research Record. 263-270. DOI: 10.3141/1802-29 |
0.576 |
|
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