REFERENCES
- Dallmeyer, J., Schumann, R., Lattner, A. D., & Timm, I. J. (2015). Don't go with the ant flow: Ant-inspired traffic routing in urban environments. Journal of Intelligent Transportation Systems, 19(1), 78–88.
- Hrnčíř, J., Rovatsos, M., & Jakob, M. (2015). Ridesharing on timetabled transport services: A multiagent planning approach. Journal of Intelligent Transportation Systems, 19(1), 89–105.
- Kalina, P., Vokřínek, J., & Mařík, V. (2015). Agents toward vehicle routing problem with time windows. Journal of Intelligent Transportation Systems, 19(1), 3–17.
- Luo, Y., Turgut, D., & Bölöni, L. (2015). Modeling the strategic behavior of drivers for multi-lane highway driving. Journal of Intelligent Transportation Systems, 19(1), 45–62.
- Rosenfeld, A., Bareket, Z., Goldman, C. V., LeBlanc, D. J., & Tsimhoni, O. (2015). Learning driver's behavior to improve adaptive cruise control. Journal of Intelligent Transportation Systems, 19(1), 18–31.
- Vizzari, G., Manenti, L., Ohtsuka, K., & Shimura, K. (2015). An agent-based pedestrian and group dynamics model applied to experimental and real-world scenarios. Journal of Intelligent Transportation Systems, 19(1), 32–44.
- Waizman, G., Shoval, S., & Benenson, I. (2015). Micro-simulation model for assessing the risk of vehicle-pedestrian road accidents. Journal of Intelligent Transportation Systems, 19(1), 63–77.