Fu, L., Thakali, L., Kwon, T.J., & Usman, T. (2016). Winter Road Condition Classification and Reporting – A Risk-Based Approach. Canadian Journal of Civil Engineers. Abstract: This paper presents a risk-based approach for classifying the road surface conditions of a highway network under winter weather events. A relative risk index (RRI) is developed to capture the effect of adverse weather conditions on the collision risk of a highway in reference …Read More
Pan, G., Fu, L., Thakali, L. (2017). Development of a global road safety performance function using deep neural networks. International Journal of Transportation Science & Technology, 6(3):159-173.
Pan, G., Fu, L., Thakali, L. (2017). Development of a global road safety performance function using deep neural networks. Transportation Research Record: International Journal of Transportation Science & Technology, 6(3):159-173. Abstract: This paper explores the idea of applying a machine learning approach to developing a global road safety performance function (SFP) that can be used to predict the expected crash frequencies of different highways from different regions. A deep belief …Read More
Heydari, S., Fu, L., Miranda-Moreno, L.F., Joseph, L. (2017). Using a flexible multivariate latent class approach to model correlated outcomes: A joint analysis of pedestrian and cyclist injuries. Analytic Methods in Accident Research, 13, 16-27.
Several recent transportation safety studies have indicated the importance of accounting for correlated outcomes, for example, among different crash types, including differing injury-severity levels. In this paper, we discuss inference for such data by introducing a flexible Bayesian multivariate model. In particular, we use a Dirichlet process mixture to keep the dependence structure unconstrained, relaxing the usual homogeneity assumptions. The resulting model collapses into a latent class multivariate model that …Read More
Heydari, S., Fu, L., Joseph, L., Miranda-Moreno-L.F. (2016). Bayesian nonparametric modeling in transportation safety studies: Applications in univariate and multivariate settings. Analytic Methods in Accident Research, 12, 18-34.
In transportation safety studies, it is often necessary to account for unobserved heterogeneity and multimodality in data. The commonly used standard or over-dispersed generalized linear models (e.g., negative binomial models) do not fully address unobserved heterogeneity, assuming that crash frequencies follow unimodal exponential families of distributions. This paper employs Bayesian nonparametric Dirichlet process mixture models demonstrating some of their major advantages in transportation safety studies. We examine the performance of …Read More
Thakali, L., Fu, L., & Chen, T. (2016). Model Based versus Data-driven Approach for Road Safety Analysis : Does More Data Help? Transportation Research Record: Journal of the Transportation Research Board, No. 2601.
Thakali, L., Fu, L., & Chen, T. (2016). Model Based versus Data-driven Approach for Road Safety Analysis : Does More Data Help? Transportation Research Record: Journal of the Transportation Research Board, No. 2601. Abstract: Crash data for road safety analysis and modeling are growing steadily in size and completeness due to latest advancement in information technologies. This increased availability of large datasets has generated resurgent interest in applying data-driven nonparametric approach as …Read More
Heydari, S., Fu, L., Lord, D., Mallick, B.K. (2016). Multilevel Dirichlet process mixture analysis of railway grade crossing crash data. Analytic Methods in Accident Research, 9, 27-43.
Heydari, S., Fu, L., Lord, D., Mallick, B.K. (2016). Multilevel Dirichlet process mixture analysis of railway grade crossing crash data. Analytic Methods in Accident Research, 9, 27-43.
Thakali, L., Kwon, T. J., & Fu, L. (2015). Identification of Crash Hotspots using Kernel Density Estimation and Kriging Methods – A Comparison. Journal of Modern Transportation. DOI: 10.1007/s40534-015-0068-0
Thakali, L., Kwon, T. J., & Fu, L. (2015). Identification of Crash Hotspots using Kernel Density Estimation and Kriging Methods – A Comparison. Journal of Modern Transportation. DOI: 10.1007/s40534-015-0068-0 Abstract: This paper presents a study aimed at comparing the outcome of two geostatistical based approaches, namely, Kernel Density Estimation (KDE) and Kriging, for identifying crash hotspots in a road network. Aiming at locating high-risk locations for potential intervention, hotspot identification …Read More
Hossain, S. M. K., Fu, L., Lake, R. (2014). Improving Winter Road Conditions: Evaluation of Deicing Performance of Alternative Salts and Development of Adjustment Factors. Canadian Journal of Civil Engineering (CJCE). (Accepted: 6 January 2015)
Hossain, S. M. K., Fu, L., Lake, R. (2014). Improving Winter Road Conditions: Evaluation of Deicing Performance of Alternative Salts and Development of Adjustment Factors. Canadian Journal of Civil Engineering (CJCE). (Accepted: 6 January 2015)
Hossain, S.M. K., Fu, L., Olesen A.(2014). Effectiveness of Anti-icing Operations for Snow and Ice Control of Parking Lots and Sidewalks. Canadian Journal of Civil Engineering (CJCE), 41(6): 523-530, 10.1139/cjce-2013-0587
Hossain, S.M. K., Fu, L.; Olesen A.(2014). Effectiveness of Anti-icing Operations for Snow and Ice Control of Parking Lots and Sidewalks. Canadian Journal of Civil Engineering (CJCE), 41(6): 523-530, 10.1139/cjce-2013-058 This paper describes an empirical study aimed at investigating the performance of the anti-icing strategy for snow and ice control of parking lots and sidewalks. The research is motivated by the need to address several key questions concerning various operational …Read More
Kwon, T. J., Fu, L., & Jiang, C. (2014). RWIS Stations – Where and How Many to Install: A Cost Benefit Analysis Approach, Canadian Journal of Civil Engineering (CJCE), DOI: 10.1139/cjce-2013-0569.
Kwon, T. J., Fu, L., & Jiang, C. (2014). RWIS Stations – Where and How Many to Install: A Cost Benefit Analysis Approach, Canadian Journal of Civil Engineering (CJCE), DOI: 10.1139/cjce-2013-0569. ABSTRACT This paper presents a cost-benefit based approach to the problem of finding the optimal location and density of road weather information system (RWIS) stations over a regional road network. The novelty of the proposed method lies in the models …Read More