Experts@Minnesota

Causal inference and impact assessment in traffic safety; application of accident investigation and reconstruction methods to address traffic engineering questions; using Bayesian statistical methods in traffic and transportation engineering; application of optimization methods to problems in traffic engineering and transportation planning.

Education

B.A., 1973, Psychology/Philosophy, Eastern Washington University

M.S., 1980, Experimental Psychology, Eastern Washington University

M.S., 1985, Civil Engineering, University of Washington

Ph. D., 1989, Civil Engineering, University of Washington

Professional Background

Visiting Researcher, Royal Institute of Technology, Stockholm Sweden, 1986-87

Selected Publications

Davis, G. A. 2021. Mechanisms, mediators, and surrogate estimation of crash modification factors. Accident Analysis and Prevention. 151. doi: 10.1016/j.aap.2021.105978

Davis, G. A., Chatterjee, I., Gao, J. & Hourdos, J. 2021. Traffic Density versus Rear-End Crash Risk on Freeways: Empirical Model, Mechanism Model, and Transfer to Automated Vehicles. Journal of Transportation Engineering Part A: Systems., 147, 4. doi: 10.1061/JTEPBS.0000501

Davis, G., and Cheong, C., 2019. Pedestrian Injury Severity vs Vehicle Impact Speed: uncertainty quantification and calibration to local conditions, Transportation Research Record, 2673(11): 583-592. doi: 10.1177/0361198119845896

Davis, G. 2019. Explaining Crash Modification Factors: Why It’s Needed and How It Might Be Done, Accident Analysis and Prevention, 131: 225-233.

Kumar, P., Khani, A. & Davis, G. A. 2019. Transit Route Origin–Destination Matrix Estimation using Compressed Sensing, Transportation Research Record 2673, 10: 164-174.

Davis, G., 2017. Mapping the Middle Ground: Exploratory Surveying as Distributed Cognition, Terrae Incognitae, 49: 21-36.

Gao, J. and Davis, G. 2017. Using Naturalistic Driving Study Data to Investigate the Impact of Driver Distraction on Driver’s Brake Reaction Time in Freeway Rear-End Events in Car-Following Situation, Journal of Safety Research, 63: 195-204.

Davis, G., Moshtagh, V., and Hourdos, J. 2016. Safety-Related Guidelines for Time-of Day Changes in Left Turn Phasing, Transportation Research Record, 2557, 2016, 100-107.

Chatterjee, I., and Davis, G. 2016. Analysis of Rear-Ending Events on Congested Freeways Using Video-Recorded Shockwaves, Transportation Research Record, 2583: 110-118.

Chatterjee, I., and Davis, G. 2014. Using Naturalistic Driving Data to Characterize Driver Behavior in Freeway Shockwaves, Transportation Research Record, 2434: 9-17.

Feng, Y., Hourdos, J., and Davis, G. 2014. Probe Vehicle Based Real Time Traffic Monitoring on Urban Roadways, Transportation Research C, 40: 160-178.

Davis, G. 2014. Crash Reconstruction and Crash Modification Factors, Accident Analysis and Prevention, 62: 294-302.

Feng, Y.; Hourdos, J.; Davis, G. 2014. Probe vehicle based real-time traffic monitoring on urban roadways. Transportation Research Part C: Emerging Technologies. 40: 160-178.

Davis, G. 2014. Sample-based estimation of vehicle speeds from yaw marks: Bayesian implementation using Markov Chain Monte Carlo simulation. SAE Technical Papers.

Chatterjee, I., and Davis, G. 2013. An Evolutionary Game Theoretic Approach to Rear-Ending Events on Congested Freeways, Transportation Research Record, 2386: 121-127.