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Refereed Journal Papers (16 in total)
  1. Kidando, E., Kitali, A., Kutela, B., and Sando, T. (2020). “A Comparative Study of Parametric Regression Models to Detect Breakpoint in Traffic Fundamental Diagram,” arXiv:2009.00536.

  2. Kidando, E., Karaer, A., Kutela, B., Kitali, A., Moses, R., Ozguven, E., and Sando, T. (2020). “A Novel Approach for Calibrating Freeway Highway Multi-Regimes Fundamental Diagram,” Transportation Research Record, 0361198120930221.

  3. Salum, J. H., Sando, T., Alluri, P., and Kitali, A. (2020). “Operational Evaluation of Freeway Service Patrols: A Case Study of Florida’s Road Rangers,” Advances in Transportation Studies, 51, 47–62.

  4. Kidando, E., Kitali, A., Moses, R., and Ozguven, E. (2020). “Real-Time Visualization of Operational Performance Measures of Arterial Highway Using Open Crowdsourced Data,” Journal of Transportation Engineering, Part A, 146 (9), 04020094. 

  5. Kitali, A., Kidando, E., Alluri, P., Sando, T., and Salum, J. (2020). “Modeling Severity of Motorcycle Crashes with Dirichlet Process Priors,” Journal of Transportation Safety and Security

  6. Kitali, A., Alluri, P., Sando, T., and Wu, W. (2019). “Identification of Secondary Crash Risk Factors using Penalized Logistic Regression Model,” Transportation Research Record, 2673(11), 901–914. [4 citations]

  7. Kitali, A., Alluri, P., and Sando, T. (2019). “Impact of Primary Incident Spatiotemporal Influence Thresholds on the Detection of Secondary Crashes,” Transportation Research Record, 2673(10), 271–283. [4 citations]

  8. Salum, J., Kitali, A., Bwire, H., Sando, T., and Alluri, P. (2019) “Severity of Motorcycle Crashes in Dar es Salaam, Tanzania,” Traffic Injury Prevention, 20(2), 189–195. [8 citations]

  9. Kidando, E., Kitali, A., Moses, R., Lyimo, S., Kwigizile, V., Sando, T., and Chimba, D. (2019). “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, 145 (5): 04019017. [3 citations]

  10. Haule, H., Sando, T., Kitali, A., and Richardson, R. (2018). “Investigating Proximity of Crash Locations to Aging Pedestrian Residences,” Accident Analysis and Prevention. 122, 215–225. [5 citations]

  11. Kitali, A., Alluri, P., Sando, T., Haule, H., Kidando, E., and Lentz, R. (2018). “Likelihood Estimation of Secondary Crashes Using Bayesian Complementary Log-Log Model,” Accident Analysis and Prevention, 119, 58–67. [17 citations]

  12. Kitali, A., Kidando, E., Martz, P., Alluri, P., Sando, T., Moses, R., and Lentz, R. (2018). “Evaluating Factors Influencing the Severity of Three-plus Multiple-vehicle Crashes Using Real-Time Traffic Data,” Transportation Research Record, 2672(38), 128–137. [4 citations]

  13. Kitali, A., Sando, T, Castro, A., Kobelo, D., and Mwakalonge, J. (2017). “Using Crash Modification Factors to Appraise the Safety Effects of Pedestrian Countdown Signals for Drivers,” Journal of Transportation Engineering, Part A, 144 (5): 04018011. [3 citations]

  14. Kitali, A., Kidando, E., Sando, T., Moses, R., and Ozguven, E. (2017). “Evaluating Aging Pedestrian Crash Severity with Bayesian Complementary Log–Log Model for Improved Prediction Accuracy,” Transportation Research Record, 2659, 155-163. [6 citations]

  15. Kitali, A., and Sando, T. (2017). “A Full Bayesian Approach to Appraise the Safety Effects of Pedestrian Countdown Signals to Drivers,” Accident Analysis and Prevention, 106, 327-335. [4 citations]

  16. Kitali, A., Sando, T., Moses, R., and Ozguven, E. (2017). “Understanding Factors Associated with Severity of Aging Population-Involved Pedestrian Crashes in Florida,” Advances in Transportation Studies, 42 (3), 85-98. 

Big Data in the

World of Transportation Engineering

© 2019 by Angela Kitali

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