Developments in connected and automated vehicles

References

• Ban, X., Herring, R., Margulici, J. D., & Bayen, A. (2009). Optimal sensor placement for freeway travel time estimation. In W. H. K. Lam, S. C. Wong, & H. K. Lo (Eds.), Transportation and Traffic Theory, Ch. 34 (pp. 697–721). Hong Kong, China: Springer.
   Google Scholar
• Bartin, B., Ozbay, K., & Iyigun, C. (2007). A clustering based methodology for determining the optimal roadway configuration of detectors for travel time estimation. Transportation Research Record, 2000, 98–105.
   Web of Science ®Google Scholar
• Cao, P., Hu, Y., Miwa, T., Wakita, Y., Morikawa, T., & Liu, X. (2017). An optimal mandatory lane change decision model for autonomous vehicles in urban arterials. Journal of Intelligent Transportation Systems, 21(4), 271–284.
   Web of Science ®Google Scholar
• Danczyk, A., & Liu, X. (2011). A mixed-integer linear program for optimizing sensor locations along freeway corridors. Transportation Research Part B, 45(1), 208–217.
   Google Scholar
• Federal Highway Administrations (FHWA). (1994). The automated highway system. Available from: https://www.fhwa.dot.gov/publications/publicroads/94summer/p94su1.cfm (Accessed on May 30, 2017).
   Google Scholar
• Federal Highway Administrations (FHWA). (1997). Demo's 97: Proving AHS works. Available from: https://www.fhwa.dot.gov/publications/publicroads/97july/demo97.cfm (Accessed on May 30, 2017).
   Google Scholar
• Goel, S., Imielinski, T., & Ozbay, K. (2004). Ascertaining viability of Wi-Fi based vehicle-to-vehicle network for traffic information dissemination. Published in the Proceedings of the 7th IEEE International Conference on Intelligent Transportation Systems, Washington, DC. https://doi.org/10.1109/ITSC.2004.1399058.
   Google Scholar
• Intelligent Transportation Systems Joint Program Office (ITSJPO). (2017). Connected vehicles. Available from: https://www.its.dot.gov/cv_basics/ (Accessed on May 30, 2017).
   Google Scholar
• Kim, Y., & Peeta, S. (2017). Modeling of the dynamic flow propagation of multiple units of information under vehicle-to-vehicle communications based advanced traveler information systems. Journal of Intelligent Transportation Systems, 21(4), 310–323.
   Web of Science ®Google Scholar
• Milakis, D., van Arem, B., & van Wee, B. (2017). Policy and society related implications of automated driving: A review of literature and directions for future research. Journal of Intelligent Transportation Systems, 21(4), 324–348 https://doi.org/10.1080/15472450.2017.1291351.
   Web of Science ®Google Scholar
• Mudigonda, S., Fukuyama, J., & Ozbay, K. (2013). Evaluation of methodology for scalable dynamic vehicular ad hoc networks in well-calibrated vehicular mobility test-bed. Journal of Transportation Research Board (Intelligent Transportation Systems Committee (AHB15)), Issue 2381, pp. 54–64, Washington, DC: National Academies.
   Google Scholar
• Naranjo, J. E., Jiménez, F., Anaya, J. J., Talavera, E., & Gómez, O. (2017). Application of vehicle to another entity (V2X) communications for motorcycle crash avoidance. Journal of Intelligent Transportation Systems, 21(4), 285–295 https://doi.org/10.1080/15472450.2016.1247703.
   Web of Science ®Google Scholar
• National Highway Traffic Safety Administration (NHTSA). (2017). Automated vehicles. Available from: https://www.nhtsa.gov/technology-innovation/automated-vehicles (Accessed on May 30, 2017).
   Google Scholar
• Olia, A., Abdelgawad, H., Abdulhai, B., & Razavi, S. (2017). Optimizing the number and locations of freeway roadside equipment units for travel time estimation in a connected vehicle environment. Journal of Intelligent Transportation Systems, 21(4), 296–309.
   Web of Science ®Google Scholar
• Ozbay, K., & Indirakanti, T. (2010). Biologically inspired modeling of vehicle to vehicle communication for intelligent transportation systems application. 16th Pan-American Conference of Traffic and Transportation Engineering, July 15–18. 2010, Lisbon, Portugal.
   Google Scholar
• The Economist. (2009). The connected cars. Available from: http://www.economist.com/node/13725743 (Accessed on May 30, 2017).
   Google Scholar
• Viereckl, R., Ahlemann, D., & Koster, A. et al. (2016). Connected car report 2016: Opportunities, risk, and turmoil on the road to autonomous vehicles. Available from (Accessed on May 30, 2017): https://www.strategyand.pwc.com/reports/connected-car-2016-study.
   Google Scholar
• Zheng, L., Ran, B., & Huang, H. (2017). Safety evaluation for driving behaviors under bidirectional looking context. Journal of Intelligent Transportation Systems, 21(4), 255–270.
   Web of Science ®Google Scholar