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D. Li, T. Miwa, C. Xu, and Z. Li, “Non-linear fixed and multi-level random effects of origin–destination specific attributes on route choice behaviour,” IET Intell. Transp. Syst., vol. 13, no. 4, pp. 654-660(6), 2019.
D. Li, T. Miwa, and T. Morikawa, “Modeling time-of-day car use behavior: A Bayesian network approach,” Transp. Res. Part D Transp. Environ., vol. 47, pp. 54–66, 2016.
D. Li, T. Miwa, T. Morikawa, and P. Liu, “Incorporating observed and unobserved heterogeneity in route choice analysis with sampled choice sets,” Transp. Res. Part C Emerg. Technol., vol. 67, pp. 31–46, 2016.
D. Li, T. Miwa, and T. Morikawa, “Considering En-Route Choices in Utility-Based Route Choice Modelling,” Networks Spat. Econ., vol. 14, no. 3–4, pp. 581–604, 2014.
D. Li, T. Miwa, and T. Morikawa, “Analysis of Vehicles’ Daily Fuel Consumption Frontiers with Long-Term Controller Area Network Data,” Transp. Res. Rec. J. Transp. Res. Board, no. 2503, pp. 100–109, 2015.
D. Li, T. Miwa, and T. Morikawa, “Analysis of Car Usage Time Frontiers Incorporating Both Inter-and Intraindividual Variation with GPS Data,” Transp. Res. Rec. J. Transp. Res. Board, vol. 2413, no. 1, pp. 13–23, 2014.
D. Li, T. Miwa, and T. Morikawa, “Dynamic Route Choice Behavior Analysis Considering En Route Learning and Choices,” Transp. Res. Rec. J. Transp. Res. Board, no. 2383, pp. 1–9, 2013.
D. Li, T. Miwa, and T. Morikawa, “Use of Private Probe Data in Route Choice Analysis to Explore Heterogeneity in Drivers’ Familiarity with Origin-Destination Pairs,” Transp. Res. Rec. J. Transp. Res. Board, vol. 2338, no. 1, pp. 20–28, 2013.
D. Li, T. Miwa, and T. Morikawa, “Dynamic Route Choice Behavior Analysis Considering En Route Learning and Choices,” Transp. Res. Rec. J. Transp. Res. Board, vol. 2383, no. 1, pp. 1–9, 2013.
D. Li, L. Cheng, and J. Ma, “Incident Duration Prediction Based on Latent Gaussian Naive Bayesian classifier,” Int. J. Comput. Intell. Syst., vol. 4, no. 3, pp. 345–352, 2011.
D. Li, C. Li, T. Miwa, and T. Morikawa, “An exploration of factors affecting drivers’ daily fuel consumption efficiencies considering multi-level random effects,” Sustainability, vol. 11, no. 2, 2019.
J. Ma, L. Cheng, D. Li, and Q. Tu, “Stochastic Electric Vehicle Network Considering Environmental Costs,” Sustainability, vol. 10, no. 8, p. 2888, Aug. 2018.
Q. Tu, L. Cheng, D. Li, J. Ma, and C. Sun, “Stochastic Transportation Network Considering ATIS with the Information of Environmental Cost,” Sustainability, vol. 10, no. 11, p. 3861, 2018.
X. Lou, L. Cheng, D. Li, S. Zhu, and J. Zhou, “Modeling Day-to-Day Dynamics of Travelers’ Risky Route Choices under the Influence of Predictive Traffic Information,” Transp. Res. Rec., vol. 0, no. 0, p. 0361198118773565, 2018.
J. Ma, D. Li, L. Cheng, X. Lou, C. Sun, and W. Tang, “Link Restriction: Methods of Testing and Avoiding Braess Paradox in Networks Considering Traffic Demands,” J. Transp. Eng. Part A Syst., vol. 144, no. 2, p. 4017076, 2018.
C.-J. Jin, R. Jiang, W. Wei, D. Li, and N. Guo, “Microscopic events under high-density condition in uni-directional pedestrian flow experiment,” Phys. A Stat. Mech. its Appl., vol. 506, pp. 237–247, 2018.
J. Ma, L. Cheng, and D. Li, “Road Maintenance Optimization Model Based on Dynamic Programming in Urban Traffic Network,” J. Adv. Transp., vol. 2018, p. 11, 2018.
C. Xu, D. Li, Z. Li, W. Wang, and P. Liu, “Utilizing structural equation modeling and segmentation analysis in real-time crash risk assessment on freeways,” Ksce J. Civ. Eng., no. 2, pp. 1–9, 2017.
C. J. Jin, R. Jiang, J. L. Yin, L. Y. Dong, and D. Li, “Simulating bi-directional pedestrian flow in a cellular automaton model considering the body-turning behavior,” Phys. A Stat. Mech. its Appl., vol. 482, pp. 666–681, 2017.
M. Yang, J. J. Wu, S. Rasouli, C. Cirillo, and D. W. Li, “Exploring the impact of residential relocation on modal shift in commute trips: Evidence from a quasi-longitudinal analysis,” Transp. Policy, vol. 59, pp. 142–152, 2017.
Z. Li, C. Xu, D. Li, P. Liu, and W. Wang, “Comparing the Effects of Ramp Metering and Variable Speed Limit on Reducing Travel Time and Crash Risk at Bottlenecks,” IET Intell. Transp. Syst., 2017.
D. Li, X. Hu, C. J. Jin, and J. Zhou, “Learning to Detect Traffic Incidents from Data Based on Tree Augmented Naive Bayesian Classifiers,” Discret. Dyn. Nat. Soc., vol. 2017, no. 1, pp. 1–9, 2017.
S. Zhu, Y. Guo, J. Chen, D. Li, and L. Cheng, “Integrating Optimal Heterogeneous Sensor Deployment and Operation Strategies for Dynamic Origin-Destination Demand Estimation,” Sensors, vol. 17, no. 8, p. 1767, 2017.