Integrated control of highway traffic flow

References

• Baldi, S., Michailidis, I., Kosmatopoulos, E., Papachristodoulou, A., & Ioannou, P. (2014 July). Convex design control for practical nonlinear systems. IEEE Transactions on Automatic Control, 59(7), 1692–1705. doi:10.1109/TAC.2014.2309271.
   Web of Science ®Google Scholar
• Baskar, L. D., Schutter, B. D., & Hellendoorn, H. (2008 June). Model-based predictive traffic control for intelligent vehicles: Dynamic speed limits and dynamic lane allocation. 2008 IEEE intelligent vehicles symposium (pp. 174–179), Eindhoven, Netherlands. doi:10.1109/IVS.2008.4621307.
   Google Scholar
• California Department of Transportation (2015). Caltrans performance measurement system (PeMS). Retrieved from http://pems.dot.ca.gov/
   Google Scholar
• Caligaris, C., Sacone, S., & Siri, S. (2007). Optimal ramp metering and variable speed signs for multiclass freeway traffic. In 2007 european control conference (pp. 1780–1785), Kos, Greece.
   Google Scholar
• Caltrans (2016 April). Ramp metering design manual (Technical Report). Sacramento, United States, California Department of Transportation.
   Google Scholar
• Carlson, R. C., Papamichail, I., & Papageorgiou, M. (2011). Local feedback-based mainstream traffic flow control on motorways using variable speed limits. IEEE Transactions on Intelligent Transportation Systems, 12(4), 1261–1276.
   Web of Science ®Google Scholar
• Carlson, R. C., Papamichail, I., & Papageorgiou, M. (2013). Comparison of local feedback controllers for the mainstream traffic flow on freeways using variable speed limits. Journal of Intelligent Transportation Systems, 17(4), 268–281.
   Web of Science ®Google Scholar
• EPA (2014). Motor vehicle emission simulator (moves) user guide. US Environmental Protection Agency.
   Google Scholar
• Frejo, J. R. D., N\’u\~nez, A., De Schutter, B., & Camacho, E. F. (2014). Hybrid model predictive control for freeway traffic using discrete speed limit signals. Transportation Research Part C: Emerging Technologies, 46, 309–325.
   Web of Science ®Google Scholar
• Gao, K. (2012). Multi-objective traffic management for livability, (Unpublished doctoral dissertation). MS thesis, TU Delft, Delft, The Netherlands.
   Google Scholar
• Hegyi, A., De Schutter, B., & Hellendoorn, H. (2005). Model predictive control for optimal coordination of ramp metering and variable speed limits. Transportation Research Part C: Emerging Technologies, 13(3), 185–209.
   Web of Science ®Google Scholar
• Hegyi, A., Hoogendoorn, S., Schreuder, M., Stoelhorst, H., & Viti, F. (2008). Specialist: A dynamic speed limit control algorithm based on shock wave theory. In 2008 11th international ieee conference on intelligent transportation systems (pp. 827–832), Beijing, China.
   Google Scholar
• Horton, G., Hitchcock, G., Chiffi, C., Martino, A., Doll, C., Zeidler, V., ... Skinner, I. (2016). Research theme analysis report - urban mobility (Techinical Report). European Union.
   Google Scholar
• Ioannou, P., Wang, Y., Abadi, A., & Butakov, V. (2012). Dynamic variable speed limit control: Design, analysis and benefits (Techinical Report).
   Google Scholar
• Ioannou, P., & Zhang, Y. (2016). Intelligent driver assist system for urban driving. Digital media industry & academic forum (DMIAF). (pp. 128–134), Santorini, Greece.
   Google Scholar
• Iordanidou, G. R., Roncoli, C., Papamichail, I., & Papageorgiou, M. (2015). Feedback-based mainstream traffic flow control for multiple bottlenecks on motorways. IEEE Transactions on Intelligent Transportation Systems, 16(2), 610–621.
   Web of Science ®Google Scholar
• Jha, M., Cuneo, D., & Ben-Akiva, M. (1999). Evaluation of freeway lane control for incident management. Journal of transportation engineering, 125(6), 495–501.
   Google Scholar
• Jin, H. Y. & Jin, W. L. (2015). Control of a lane-drop bottleneck through variable speed limits. Transportation Research Part C: Emerging Technologies, 58, 568–584.
   Web of Science ®Google Scholar
• Jin, W. L. (2013). A multi-commodity Lighthill-Whitham-Richards model of lane-changing traffic flow A multi-commodity lighthill-whitham-richards model of lane-changing traffic flow. Transportation Research Part B: Methodological, 57, 361–377.
   Web of Science ®Google Scholar
• Kejun, L., Meiping, Y., Jianlong, Z. & Xiaoguang, Y. (2008). Model predictive control for variable speed limit in freeway work zone Model predictive control for variable speed limit in freeway work zone. In Control conference, 2008. ccc 2008. 27th Chinese control conference (pp. 488-493), Kunming, China.
   Google Scholar
• Khalil, H. K. (1996). Nonlinear systems. Prentice-Hall, New Jersey, 2(5), 5–1.
   Google Scholar
• Kontorinaki, M., Spiliopoulou, A., Roncoli, C., & Papageorgiou, M. (2016). Capacity drop in first-order traffic flow models: Overview and real-data validation. In Transportation research board 95th annual meeting, Washington, DC.
   Google Scholar
• Laval, J. A. & Daganzo, C. F. (2006). Lane-changing in traffic streams Lane-changing in traffic streams. Transportation Research Part B: Methodological, 40(3), 251–264.
   Web of Science ®Google Scholar
• Lu, X. Y., Qiu, T. Z., Varaiya, P., Horowitz, R., & Shladover, S. E. (2010). Combining variable speed limits with ramp metering for freeway traffic control. Proceedings of the 2010 american control conference (pp. 2266–2271), Baltimore, MD.
   Google Scholar
• Lu, X. Y. & Shladover, S. E. (2014). Review of variable speed limits and advisories. Transportation Research Record: Journal of the Transportation Research Board, 2423(1), 15–23.
   Google Scholar
• Lu, X. Y., Varaiya, P., Horowitz, R., Su, D., & Shladover, S. (2011). Novel freeway traffic control with variable speed limit and coordinated ramp metering. Transportation Research Record: Journal of the Transportation Research Board, 2229, 55–65.
   Web of Science ®Google Scholar
• Lu, X.Y., Varaiya, P., Horowitz, R., Su, D., & Shladover, S. E. (2010). A new approach for combined freeway variable speed limits and coordinated ramp metering. 2010 13th international ieee conference on Intelligent transportation systems (ITSC) (pp. 491-498), Funchal, Portugal.
   Google Scholar
• M\"uller, E. R., Carlson, R. C., Kraus, W., & Papageorgiou, M., (2015). Microsimulation analysis of practical aspects of traffic control with variable speed limits. IEEE Transactions on Intelligent Transportation Systems, 16(1), 512–523.
   Web of Science ®Google Scholar
• Muralidharan, A. & Horowitz, R. (2015). Computationally efficient model predictive control of freeway networks. Transportation Research Part C: Emerging Technologies, 58, 532–553.
   Web of Science ®Google Scholar
• Oh, H. U. & Sisiopiku, V. P. (2001). A modified ALINEA ramp metering model. Transportation research board 80th annual meeting, Washington, DC.
   Google Scholar
• Papageorgiou, M., Hadj-Salem, H., & Blosseville, J. M. (1991). Alinea: A local feedback control law for on-ramp metering. Transportation Research Record, 1320.
   Google Scholar
• Papageorgiou, M., Hadj-Salem, H., & Middelham, F. (1997). Alinea local ramp metering: Summary of field results. Transportation Research Record: Journal of the Transportation Research Board, 1603, 90–98.
   Google Scholar
• Papageorgiou, M., Kosmatopoulos, E., & Papamichail, I. (2008). Effects of variable speed limits on motorway traffic flow. Transportation Research Record: Journal of the Transportation Research Board, 2047, 37–48.
   Web of Science ®Google Scholar
• Papageorgiou, M. & Kotsialos, A. (2002 December). Freeway ramp metering: An overview. IEEE Transactions on Intelligent Transportation Systems, 3(4), 271–281.
   Web of Science ®Google Scholar
• Papamichail, I., Kampitaki, K., Papageorgiou, M., & Messmer, A. (2008). Integrated ramp metering and variable speed limit control of motorway traffic flow. IFAC Proceedings Volumes, 41(2), 14084–14089.
   Google Scholar
• Roncoli, C., Papamichail, I., & Papageorgiou, M. (2016). Hierarchical model predictive control for multi-lane motorways in presence of Vehicle Automation and Communication Systems. Transportation Research Part C: Emerging Technologies, 62, 117–132. doi:10.1016/j.trc.2015.11.008.
   Google Scholar
• Scariza, J. R. (2003). Evaluation of coordinated and local ramp metering algorithms using microscopic traffic simulation, (Unpublished doctoral dissertation). Massachusetts Institute of Technology.
   Google Scholar
• Smaragdis, E. & Papageorgiou, M. (2003). Series of new local ramp metering strategies. Transportation Research Record: Journal of the Transportation Research Board, 1856, 74–86.
   Google Scholar
• Smulders, S. (1990). Control of freeway traffic flow by variable speed signs. Transportation Research Part B: Methodological, 24(2), 111–132.
   Web of Science ®Google Scholar
• Torne Santos, J. M., Rosas, D., & Soriguera, F. (2011). Evaluation of speed limit management on c-32 highway access to barcelona. Transportation research board 90th annual meeting, Washington, DC.
   Google Scholar
• Van den Hoogen, E. & Smulders, S. (1994). Control by variable speed signs: Results of the dutch experiment. In Road traffic monitoring and control 1994 (pp. 145–149), London, UK.
   Google Scholar
• Vissim 5.30-04 user manual (2011 February). [Computer software manual]. Karlsruhe, Germany.
   Google Scholar
• Wang, Y. & Ioannou, P. (2011a). Dynamic variable speed limit control: Design, analysis and benefits, (Unpublished doctoral dissertation). University of Southern California.
   Google Scholar
• Wang, Y. & Ioannou, P. (2011b). New model for variable speed limits. Transportation Research Record: Journal of the Transportation Research Board, 2249, 38–43.
   Google Scholar
• Zhang, Y. & Loannou, P. A. (2017a July). Combined variable speed limit and lane change control for highway traffic. IEEE Transactions on Intelligent Transportation Systems, 18(7), 1812–1823. doi:10.1109/TITS.2016.2616493.
   Web of Science ®Google Scholar
• Zhang, Y. & Loannou, P. A. (2017). Coordinated variable speed limit, ramp metering and lane change control of highway traffic. IFAC-PapersOnLine, 50(1), 5307–5312. doi:10.1016/j.ifacol.2017.08.982. Retrieved from http://www.sciencedirect.com/science/article/pii/S2405896317314568.
   Google Scholar