Simulation for Human Factors

residential driving simulation.

Internal distractions are often unintentional, and can last from a split second to numerous minutes, and while driving, have been shown to occur most frequently during low-stimulus drives.

Regardless of content, length, or intensity, whenever perception and attention are decoupled, the risk of “looking but not seeing” increases, along with the likelihood of driver error. Ultimately, the outcomes of our multi-measure assessments (i.e., quantitative, qualitative, survey, self-report, and physiological metrics) could lead to countermeasures (e.g., vehicle technologies, improved practices in road geometry, signage, targeted training) that mitigate negative driving outcomes from distracted driving.

Research Projects

Related Publications

  • Zhang, Y., Wu, C., Qiao, C., Sadek, A.W., and Hulme, K.F., (2020). “A Mathematical Driver Model of Warning Response Performance in Connected Vehicle Systems”, IEEE transactions on Intelligent Transportation Systems (under review).
  • Ebnali, M., Mazloumi, A., Hulme, K.F., and E-Heidari, A., (2019). “Highly Automated Driving Training: Comparing the Effects of Simulator and Video Training on Driving Behavior in Highly Automated Vehicles”, Transportation Research Part F: Psychology and Behaviour (TRF_2019_315) (revisions requested).
  • Hou, Y., Zhong, W., Su, L., Hulme, K.F., Sadek, A.W., Qiao, C., (2016). “TASeT: Improving the Efficiency of Electric Taxis with Transfer-Allowed Rideshare”, IEEE Transactions on Vehicular Technology 65 (12), 9518-9528.
  • Zhang, Y., Wu, C., Qiao, C, Sadek, A.W., and Hulme, K.F., (2015). “Addressing the Safety of Transportation Cyber-Physical Systems: Development and Validation of a Verbal Warning Utility Scale for Intelligent Transportation Systems”, Journal of Mathematical Problems in Engineering, special issue on Cyber-Physical Systems in Manufacturing and Service Systems, vol. 2015, Article ID 126947, 13 pages, 2015. doi:10.1155/2015/126947.

Conference Proceedings

  • Ebnali, M., Fathi, R., Lamb., R., and Hulme, K.F., (2020). “The Impact of Interaction Fidelity on Cognitive, Skill-based, and Affective Learning Outcomes in Partially Automated Driving Tasks”, The Interservice/Industry Training, Simulation and Education Conference (I/ITSEC) (Education subcommittee | 4), Orlando, FL, December, 2020. (under review)
  • Hulme, K.F., Androutselis, T., Eker, U., and, Anastasopoulos, P., (2016). “A Game-based Modeling and Simulation Environment to Examine the Dangers of Task-Unrelated Thought While Driving.” MODSIM World Conference, Virginia Beach, VA, April, 2016.
  • Hulme, K.F. Morris, K.L., Anastasopoulos, P., Fabiano, G.A., Frank, M., and Houston, R., (2015). “Multi-measure Assessment of Internal Distractions on Driver/Pilot Performance”, The Interservice/Industry Training, Simulation and Education Conference (I/ITSEC) (Human Performance Analysis and Engineering subcommittee | 3), Orlando, FL, December, 2015.
  • Hou, Y., Wan, J., Zhao, Y., Hulme, K.F., Wu, C., Sadek, A.W., and Qiao, C., (2014). “The Effect of Autonomous Speed Control System: An Investigation on Minimum Headway and Driver’s Acceptance”, ITS World Congress, Detroit, MI, September, 2014.
  • Hulme, K.F. Guzy, L.T., and Kennedy, R.S., “Holistic Design Approach to Analyze Simulator Sickness in Motion-based Environments”, The Interservice/Industry Training, Simulation and Education Conference (I/ITSEC) (Simulation subcommittee | 2), Orlando, FL, November, 2011.
  • Qiao, C., Sadek, A., Hulme, K., and Wu, C., “Addressing Design and Human Factors Challenges in Cyber-Transportation Systems with an Integrated Traffic-Driving-Networking Simulator”, Workshop for Developing Dependable and Secure Automotive Cyber-Physical Systems from Components, Troy, MI, March, 2011.