-Amirgholy, M., Gao, H.O., (2017), “Modeling the dynamics of congestion in large urban networks using the macroscopic fundamental diagram: user equilibrium, system optimum, and pricing strategies”, Transp. Res. Part B: Methodol. 104, pp. 215–237.
-Amirgholy, M., Shahabi, M., Gao, H.O., (2020), “Traffic automation and lane management for communicant, autonomous, and human-driven vehicles”, Transp. Res. Part C: Emerg. Technol., (In Press).
-Amoozadeh, M., Deng, H., Chuah, C.N., Zhang, H.M., Ghosal, D., (2015), “Platoon management with cooperative adaptive cruise control enabled by vanet”, Veh. Commun. 2 (2), pp.110–123.
-Aria, E., Olstam, J., Schwietering, C., (2016), “Investigation of automated vehicle effects on driver’s behavior and traffic performance”, Transp. Res. Proc. 15, pp.761–770.
-Bekiaris-Liberis, N., Roncoli, C., Papageorgiou, M., (2016), “Highway traffic state estimation with mixed connected and conventional vehicles”, IEEE Trans. Intell. Transp. Syst. 17 (12),
pp. 3484–3497.
-Biswas, S., Tatchikou, R., Dion, F., (2006), “Vehicle-to-vehicle wireless communication protocols for enhancing highway traffic safety”, IEEE Commun. Mag. 44 (1),
pp. 74–82.
-Bose, A., Ioannou, P., (2003), “Mixed manual/semi-automated traffic: a macroscopic analysis”, Transp. Res. Part C: Emerg. Technol. 11 (6), pp. 439–462.
-Chen, D., Ahn, S., Chitturi, M., Noyce, D.A., (2017), “Towards vehicle automation: roadway capacity formulation for traffic mixed with regular and automated vehicles”, Transp. Res. Part B: Methodol. 100, pp. 196–221.
-Daganzo, C.F., (2007), “Urban gridlock: macroscopic modeling and mitigation approaches”, Transp. Res. Part B 41 (1), pp.49–62.
-Daganzo, C.F., Geroliminis, N., (2008), “An analytical approximation for the macroscopic fundamental diagram of urban traffic”, Transp. Res. Part B: Methodol. 42 (6), pp. 771–781.
-Daganzo, C.F., Gayah, V.V., Gonzales, E.J., (2011), “Macroscopic relations of urban traffic variables: bifurcations, multivaluedness and instability”, Transp. Res. Part B: Methodol. 45 (1), pp. 278–288.
-Dulman, S., Nieberg, T., Wu, J., Havinga, P., (2003), “Trade-offbetween traffic overhead and reliability in multipath routing for wireless sensor networks”, In: Proceedings of the 2003 IEEE Wireless Communications and Networking, WCNC 2003, 3. IEEE,
pp. 1918–1922.
-Fernandes, P., Nunes, U., (2015), “Multiplatooning leaders positioning and cooperative behavior algorithms of communicant automated vehicles for high traffic capacity”, IEEE Trans. Intell. Transp. Syst. 16 (3), pp. 1172–1187.
-Fernandes, P., Nunes, U., (2012), “Platooning with IVC-enabled autonomous vehicles: strategies to mitigate communication delays, improve safety and traffic flow”, IEEE Trans. Intell. Transp. Syst. 13 (1), pp. 91–106.
-Fernandes, P., Nunes, U., (2011), “Algorithms for management of a multi-platooning system of IVC-enabled autonomous vehicles, with high traffic capacity”, In: Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011. IEEE, pp. 1935–1941.
-Geroliminis, N., Haddad, J., Ramezani, M., (2013), “Optimal perimeter control for two urban regions with macroscopic fundamental diagrams: a model predic- tive approach”, IEEE Trans. Intell. Transp. Syst. 14 (1),
pp. 348–359.
-Geroliminis, N., Levinson, D.M., (2009), “Cordon pricing consistent with the physics of overcrowding. Transportation and Traffic Theory”, 2009: Golden Jubilee. Springer, Boston, MA, pp. 219–240.
-Geroliminis, N., Daganzo, C.F., (2008), “Existence of urban-scale macroscopic fundamental diagrams: some experimental findings”, Transp. Res. Part B: Methodol,
42 (6), pp. 759–770.
-Geroliminis, N., Daganzo, C.F., (2007), “Macroscopic modeling of traffic in cities”, In: Proceedings of the Transportation Research Board 86th Annual Meeting, No. 07-0413.
-Ghiasi, A., Ma, J., Zhou, F. and Li, X., (2017), “Speed Harmonization Algorithm Using Connected Autonomous Vehicles”, In 96th Annual Meeting of the Transporta- tion Research Board, Washington, DC. https://www.researchgate.net/profile/Amir _ Ghiasi/publication/313425430 _ Speed _ Harmonization _ Algorithm _ using _ Connected _ Autonomous _ Vehicles/links/589a112f4585158bf6f8a996/Speed- Harmonization- Algorithm- using- Connected- Autonomous- Vehicles. Pdf.
-Kockelman, K., Boyles, S., Stone, P., Fagnant, D., Patel, R., Levin, M.W., Sharon, G., Simoni, M., Albert, M., Fritz, H., Hutchinson, R., (2017), “An assessment of autonomous vehicles: traffic impacts and infrastructure needs “(No. FHWA/TX-17/0-6847-1). University of Texas at Austin, Center for Transportation Research, https://rosap.ntl.bts.gov/view/dot/3190.
-Lam, S., Katupitiya, J., (2013), “Cooperative autonomous platoon maneuvers on highways”, In: Proceedings of the Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on. IEEE,
pp. 1152–1157.
-Le Vine, S., Zolfaghari, A., Polak, J., (2015), “Autonomous cars: the tension between occupant experience and intersection capacity”, Transp. Res. Part C: Emerg. Technol. 52, pp. 1–14.
-Li, Z., Elefteriadou, L., Ranka, S., (2014), “Signal control optimization for automated vehicles at isolated signalized intersections”, Transp. Res. Part C: Emerg. Technol. 49, pp.1–18.
-Lioris, J., Pedarsani, R., Tascikaraoglu, F.Y., Varaiya, P., (2017), “Platoons of connected vehicles can double throughput in urban roads”, Transp. Res. Part C: Emerg. Technol., 77, pp. 292–305.
-Michael, J.B., Godbole, D.N., Lygeros, J., Sengupta, R., (1998), “Capacity analysis of traffic flow over a single-lane automated highway system”, J. Intell. Transp. Syst. 4 (1–2), pp. 49–80.
-Ni, D., Li, J., Andrews, S., Wang, H., (2010), “Preliminary estimate of highway capacity benefit attainable with intellidrive technologies, In: Proceedings of the Intelligent Transportation Systems (ITSC)”, 2010 13th International IEEE Conference on. IEEE,
pp. 819–824.
-Ramezani, M., Haddad, J., Geroliminis, N., (2015), “Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control”, Transp. Res. Part B: Methodol. 74, pp. 1-19.
-Robinson, T., Chan, E., Coelingh, E., (2010), “Operating platoons on public motorways: an introduction to the sartreplatooning programm”, In Proceedings of the 17th world congress on in telligent transport systems, 1, pp. 12.
-Roncoli, C., Papageorgiou, M., Papamichail, I., (2014), “Optimal control for multi-lane motorways in presence of vehicle automation and communication sys- tems”, IFAC Proc. Vol. 47 (3), pp. 4178–4183.
-Shabanpour, R., Golshani, N., Shamshiripour, A., Mohammadian, A.K., (2018), “Eliciting preferences for adoption of fully automated vehicles using best-worst analysis”, Transp. Res. Part C: Emerg. Technol. 93, pp. 463–478.
-Shi, L., Prevedouros, P., (2016), “Autonomous and connected cars: hcm estimates for freeways with various market penetration rates”, Transp. Res. Procedia 15, pp. 389–402.
-Van Arem, B., Van Driel, C.J., Visser, R., (2006), “The impact of cooperative adaptive cruise control on traffic-flow characteristics”, IEEE Trans. Intell. Transp. Syst. 7 (4),
pp. 429–436.
-Varaiya, P., (1993), “Smart cars on smart roads: problems of control”, IEEE Trans. Autom. Control 38 (2), pp. 195–207.
-Yan, J., Bitmead, R.R., (2005), “Incorporating state estimation into model predictive control and its application to network traffic control”, Automatica 41 (4), pp. 595–604.
-Zito, R., D’este, G., Taylor, M.A.P., (1995), “Global positioning systems in the time domain: how useful a tool for intelligent vehicle-highway systems?”, Transp. Res. Part C: Emerg. Technol. 3 (4), pp. 193–209.
-Zohdy, I., Kamalanathsharma, R., Sundararajan, S., Kandarpa, R., (2015), “Automated vehicles from modeling to real world”, Road Vehicle Automation 2. Springer, Cham, pp. 187–191.
)