Dr. Emmanuel Kidando
Assistant Professor of Civil Engineering
Dr. Emmanuel Kidando is currently an assistant professor in the Department of Environmental & Civil Engineering at Mercer University. He holds a Ph.D. in Civil Engineering from Florida State University. Before joining Mercer University, Dr. Kidando worked as a research scientist at Florida State University.
His research experience covers a wide variety of transportation engineering areas including intelligent transportation systems (ITS), autonomous and connected vehicles, freeway operations, highway safety, simulation modeling, software systems, and data management. He has authored and co-authored numerous peer-reviewed research articles and conference proceeding papers in the application of advanced statistical modeling techniques in traffic operation, highway safety, and intelligent transportation systems.
- Ph.D., Civil Engineering, Florida State University
- M.S. Engineering (Concentration: Civil & Transportation), Tennessee State University
- B.S., Civil Engineering, University of Dar es Salaam
Intelligent Transportation Systems; Traffic Operations and Simulation; Data Collection Methods and Data Visualization in Transportation; Application of Advanced Statistical Analysis in Transportation; and Traffic Safety Analysis and Modeling
Autonomous and connected vehicles technology; Data analytics and visualization for connected transportation systems; Software system development; Mining traffic data from crowdsourced systems, such as Open Street Map (OSM); and Application of computer vision in traffic operation analysis
- Kidando, E., R. Moses, T. Sando, and E. E. Ozguven. “Assessment of Factors Associated with Travel Time Reliability and Prediction: An Empirical Analysis Using Probabilistic Reasoning Approach.” Journal of Transportation Planning and Technology, Vol. 42, No. 4, 2019 pp. 309-323.
- Kidando, E., E. K. Angela, M. L. Sia, T. Sando, R. Moses, K. Valerian, and D. Chimba. “Applying a Probabilistic Model to Quantify the Influence of Rainy Weather on a Stochastic and Dynamic Transition of Traffic Conditions.” Journal of Transportation Engineering, Part A: Systems, Vol. 145 No. 5, 2019.
- Kidando, E., Moses R., Ozguven, E. E., and Sando, T., “Incorporating Travel Time Reliability in Predicting the Likelihood of Severe Crashes on Arterial Highways Using Non-Parametric Random-Effect Regression.” Journal of Traffic and Transportation Engineering, 2019.
- Kidando, E., R. Moses, and T. Sando. “A Bayesian Regression Approach to Estimate Speed Threshold under Uncertainty for Traffic Breakdown Event Identification.” Journal of Transportation Engineering, Part A: Systems, Vol. 145 No. 5, 2019.
- Kitali, E. A., Alluri, P., Sando, T., Haule, H., Kidando, E., and Lentz, R., “Likelihood Estimation of Secondary Crashes using Bayesian Complementary Log-log Model.” Journal of Accident Analysis and Prevention, Vol. 119, 2018, pp. 58-67.
- Chimba, D., Musinguzi, A., Kidando, E., “Associating Pedestrian Crashes with Demographic and Socioeconomic Factors.” Journal of Case Studies on Transport Policy, Vol. 6, No. 1, 2018, pp 11-16.
- Chimba, D., Kidando, E., and Onyango, M., “Evaluating the Service Life of Thermoplastic Pavement Markings, Stochastic Approach.” Journal of Transportation Engineering, Part B: Pavements, Vol. 144, No. 3, 2018, pp. 1-8.
- Kidando, E., Moses, R., Sando, T. and Ozguven, E. E., “Evaluating Recurring Traffic Congestion Using Change Point Regression and Random Variation Markov Structured Model.” Journal of Transportation Research Board, Vol. 2672, No. 20, 2018.
- Kitali, E. A., Kidando, E., Martz, P., Alluri, P., Sando, T., Moses, R. and Lentz, R., “Evaluating Factors Influencing the Severity of Three Plus Multiple-Vehicle Crashes Using Real-Time Traffic Data.” Journal of Transportation Research Board, Vol 2672, Issue 38, 2018.
- Kidando, E., Moses, R., AbdelRazig, Y., and Ozguven, E. E., “Safety Analysis Considering the Impact of Travel Time Reliability on Elderly Drivers.” Journal of Transportation Research Forum, Vol. 56, No. 1, 2017, pp. 21-40.