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access icon openaccess Simulating deployment of connectivity and automation on the Antwerp ring road

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References

    1. 1)
      • 1. European Commission: ‘White paper 2011 – mobility and transport – European commission’, Mobility and Transport. Available at http://www.transport/themes/strategies/2011_white_paper_en, Accessed 18 May 2017.
    2. 2)
      • 2. Gibbs, S.: ‘Google sibling waymo launches fully autonomous ride-hailing service’, The Guardian, 07 November 2017.
    3. 3)
      • 3. Shladover, S., Su, D., Lu, X.-Y.: ‘Impacts of cooperative adaptive cruise control on freeway traffic flow’, Transp. Res. Rec. J. Transp. Res. Board, 2012, 2324, pp. 6370.
    4. 4)
      • 4. Ntziachristos, L., Samaras, Z.: ‘EMEP/EEA air pollutant emission inventory guidebook – 2009’, vol. Part B: sectoral guidance chapters, 1. Energy. 1.A Combustion. 1.A.3.b.i, 1.A.3.b.ii, 1.A.3.b.iii, 1.A.3.b.iv. Passenger cars, light-duty trucks, heavy-vehicles including buses and motorcycles, European Environment Agency, 2009, pp. 1121.
    5. 5)
      • 5. National Highway Traffic Safety Administration: ‘Preliminary statement of policy concerning automated vehicles’, 2013.
    6. 6)
      • 6. van Arem, B., van Driel, C.J.G., Visser, R.: ‘The impact of cooperative adaptive cruise control on traffic-flow characteristics’, IEEE Trans. Intell. Transp. Syst., 2006, 7, (4), pp. 429436.
    7. 7)
      • 7. Arnaout, G.M., Bowling, S.: ‘A progressive deployment strategy for cooperative adaptive cruise control to improve traffic dynamics’, Int. J. Autom. Comput., 2014, 11, (1), pp. 1018.
    8. 8)
      • 8. Bang, S., Ahn, S.: ‘Platooning strategy for connected and autonomous vehicles: transition from light traffic’. Presented at the Transportation Research Board 96th Annual Meeting Transportation Research Board, Washington, DC, USA, 2017.
    9. 9)
      • 9. Calvert, S.C., van den Broek, T.H.A., van Noort, M.: ‘Cooperative driving in mixed traffic networks #x2014; optimizing for performance’. 2012 IEEE Intelligent Vehicles Symp., Alcala de Henares, Spain, 2012, pp. 861866.
    10. 10)
      • 10. Calvert, S.C., van den Broek, T.H.A., van Noort, M.: ‘Modelling cooperative driving in congestion shockwaves on a freeway network’. 2011 14th Int. IEEE Conf. on Intelligent Transportation Systems (ITSC), Washington, DC, USA, 2011, pp. 614619.
    11. 11)
      • 11. Chen, D., Ahn, S., Chitturi, M., et al: ‘Towards vehicle automation: roadway capacity formulation for traffic mixed with regular and automated vehicles’, Transp. Res. B Methodol., 2017, 100, pp. 196221.
    12. 12)
      • 12. Guériau, M., Billot, R., El Faouzi, N.-E., et al: ‘How to assess the benefits of connected vehicles? A simulation framework for the design of cooperative traffic management strategies’, Transp. Res. C Emerg. Technol., 2016, 67, pp. 266279.
    13. 13)
      • 13. Milanés, V., Shladover, S.E., Spring, J., et al: ‘Cooperative adaptive cruise control in real traffic situations’, IEEE Trans. Intell. Transp. Syst., 2014, 15, (1), pp. 296305.
    14. 14)
      • 14. Talebpour, A., Mahmassani, H.S.: ‘Influence of connected and autonomous vehicles on traffic flow stability and throughput’, Transp. Res. C Emerg. Technol., 2016, 71, pp. 143163.
    15. 15)
      • 15. Wang, C., Nijmeijer, H.: ‘String stable heterogeneous vehicle platoon using cooperative adaptive cruise control’, 2015, pp. 19771982.
    16. 16)
      • 16. Becker, F., Axhausen, K.W.: ‘Literature review on surveys investigating the acceptance of autonomous vehicles’. Presented at the Transportation Research Board 96th Annual Meeting Transportation Research Board, Washington, DC, USA, 2017.
    17. 17)
      • 17. Diakaki, C., Papageorgiou, M., Papamichail, I., et al: ‘Overview and analysis of vehicle automation and communication systems from a motorway traffic management perspective’, Transp. Res. Part Policy Pract., 2015, 75, pp. 147165.
    18. 18)
      • 18. Fagnant, D.J., Kockelman, K.: ‘Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations’, Transp. Res. Part Policy Pract., 2015, 77, pp. 167181.
    19. 19)
      • 19. Farah, H., Koutsopoulos, H.N.: ‘Impact of cooperative systems on drivers’ car-following behavior’. Presented at the Transportation Research Board 91st Annual Meeting Transportation Research Board, Washington, DC, USA, 2012.
    20. 20)
      • 20. Jadaan, K., Zeater, S., Abukhalil, Y.: ‘Connected vehicles: an innovative transport technology’, Procedia Eng., 2017, 187, pp. 641648.
    21. 21)
      • 21. Litman, T.: ‘Autonomous vehicle implementation predictions: implications for transport planning’. Presented at the Transportation Research Board 94th Annual Meeting Transportation Research Board, Washington, DC, USA, 2015.
    22. 22)
      • 22. Akhegaonkar, S., Nouveliere, L., Glaser, S., et al: ‘Smart and green ACC: energy and safety optimization strategies for EVs’, IEEE Trans. Syst. Man Cybern. Syst., 2016, 48, pp. 112.
    23. 23)
      • 23. Cao, P., Hu, Y., Miwa, T., et al: ‘An optimal mandatory lane change decision model for autonomous vehicles in urban arterials’, J. Intell. Transp. Syst., 2017, 21, pp. 114.
    24. 24)
      • 24. Chin, H., Okuda, H., Tazaki, Y., et al: ‘Model predictive cooperative cruise control in mixed traffic’. IECON 2015 – 41st Annual Conf. of the IEEE Industrial Electronics Society, Yokohama, JP, 2015, pp. 003199003205.
    25. 25)
      • 25. Gáspár, P., Németh, B.: ‘Design of adaptive cruise control for road vehicles using topographic and traffic information’, IFAC Proc. Vol., 2014, 47, (3), pp. 41844189.
    26. 26)
      • 26. Li, L., Ma, W.: ‘A collision-free car-following model for connected automated vehicles’. Presented at the Transportation Research Board 96th Annual Meeting Transportation Research Board, Washington, DC, USA, 2017.
    27. 27)
      • 27. Lu, X.-Y., (David) Kan, X., Shladover, S.E., et al: ‘An enhanced microscopic traffic simulation model for application to connected automated vehicles’. Presented at the Transportation Research Board 96th Annual Meeting Transportation Research Board, Washington, DC, USA, 2017.
    28. 28)
      • 28. Qi, X., Wu, G., Hao, P., et al: ‘Integrated-connected eco-driving system for PHEVs with co-optimization of vehicle dynamics and powertrain operations’, IEEE Trans. Intell. Veh., 2017, 2, (1), pp. 213.
    29. 29)
      • 29. Rahman, M., Chowdhury, M., Dey, K., et al: ‘An evaluation strategy for driver car-following behavior models for CACC controllers’. Presented at the Transportation Research Board 96th Annual Meeting Transportation Research Board, Washington, DC, USA, 2017.
    30. 30)
      • 30. Barth, M., Boriboonsomsin, K., Wu, G.: ‘The potential role of vehicle automation in reducing traffic-related energy and emissions’. 2013 Int. Conf. on Connected Vehicles and Expo (ICCVE), Las Vegas, Nevada, USA, 2013, pp. 604605.
    31. 31)
      • 31. Khondaker, B., Kattan, L.: ‘Variable speed limit: a microscopic analysis in a connected vehicle environment’, Transp. Res. C Emerg. Technol., 2015, 58, pp. 146159.
    32. 32)
      • 32. Wang, M., Daamen, W., Hoogendoorn, S., et al: ‘Investigating potential impacts of an optimization-based Eco-ACC system on traffic and environment’. Presented at the Transportation Research Board 91st Annual Meeting Transportation Research Board, Washington, DC, USA, 2012.
    33. 33)
      • 33. Davis, L.C.: ‘Dynamic origin-to-destination routing of wirelessly connected, autonomous vehicles on a congested network’, Phys. Stat. Mech. Appl., 2017, 478, pp. 93102.
    34. 34)
      • 34. Delis, A.I., Nikolos, I.K., Papageorgiou, M.: ‘Simulation of the penetration rate effects of ACC and CACC on macroscopic traffic dynamics’. 2016 IEEE 19th Int. Conf. on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil, 2016, pp. 336341.
    35. 35)
      • 35. Fakharian Qom, S., Xiao, Y., Hadi, M.: ‘Evaluation of cooperative adaptive cruise control (CACC) vehicles on managed lanes utilizing macroscopic and mesoscopic simulation’. Presented at the Transportation Research Board 95th Annual Meeting Transportation Research Board, Washington, DC, USA, 2016.
    36. 36)
      • 36. Kloostra, B., Roorda, M.J.: ‘Fully autonomous vehicles: analyzing transportation network performance and operating scenarios in the greater Toronto area, Canada’. Presented at the Transportation Research Board 96th Annual Meeting Transportation Research Board, Washington, DC, USA, 2017.
    37. 37)
      • 37. Ngoduy, D.: ‘Instability of cooperative adaptive cruise control traffic flow: a macroscopic approach’, Commun. Nonlinear Sci. Numer. Simul., 2013, 18, (10), pp. 28382851.
    38. 38)
      • 38. Patel, R., Levin, M.W., Boyles, S.D.: ‘Effects of autonomous vehicle behavior on arterial and freeway networks’, Transp. Res. Rec. J. Transp. Res. Board, 2016, 2561.
    39. 39)
      • 39. Makridis, M., Mattas, K., Ciuffo, B., et al: ‘Assessing the impact of connected and automated vehicles. a freeway scenario’. Advanced Microsystems for Automotive Applications 2017, Cham, 2018, pp. 213225.
    40. 40)
      • 40. Shelton, J.A., T. A. & M. T. I. T. P. R. Center: ‘Revolutionizing our roadways: modeling the traffic impacts from automated and connected vehicles in a complex, congested urban setting’ (Texas A & M Transportation Institute, 2016).
    41. 41)
      • 41. Gipps, P.G.: ‘A behavioural car-following model for computer simulation’, Transp. Res. B Methodol., 1981, 15, (2), pp. 105111.
    42. 42)
      • 42. Fontaras, G., Franco, V., Dilara, P., et al: ‘Development and review of euro 5 passenger car emission factors based on experimental results over various driving cycles’, Sci. Total Environ., 2014, 468–469, pp. 10341042.
    43. 43)
      • 43. Kousoulidou, M., Fontaras, G., Ntziachristos, L., et al: ‘Use of portable emissions measurement system (PEMS) for the development and validation of passenger car emission factors’, Atmos. Environ., 2013, 64, pp. 329338.
    44. 44)
      • 44. Frank, M., Wolfe, P.: ‘An algorithm for quadratic programming’, Nav. Res. Logist. Q, 1956, 3, (1–2), pp. 95110.
    45. 45)
      • 45. Alonso Raposo, M., Ciuffo, B., Makridis, M., et al: ‘The r-evolution of driving: from connected vehicles to coordinated automated road transport (C-ART)’, Eur. Commun., 2017.
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