Control Concepts for Facilitating Motorway On-ramp Merging Using Intelligent Vehicles

References

• Antoniotti, M., Desphande, A., & Girault, A. (1997). Microsimulation analysis of multiple merge junctions under autonomous AHS operation. IEEE conference on intelligent transportation system ITSC, Boston, MA, USA (pp. 147–152).
   Google Scholar
• Antoniotti, M., & Gll, A. (1997). SHIFT and SMART-AHS: A language for hybrid system engineering modeling and simulation. Proceedings of the conference on domain-specific languages, Santa Barbara, CA, Vol. 97 (pp. 14–14).
   Google Scholar
• van Arem, B., van Driel, C. J. G., & Visser, R. (2006). The impact of cooperative adaptive cruise control on traffic-flow characteristics. IEEE Transactions on Intelligent Transportation Systems, 7, 429–436. doi: 10.1109/TITS.2006.884615
   Web of Science ®Google Scholar
• van Arem, B., Vos, A. D., & Vanderschuren, M. J. (1997). The microscopic traffic simulation model MIXIC 1.3. Delft: INRO Centre for Infrastructure, Transport and Regional Development.
   Google Scholar
• Athans, M. (1969). A unified approach to the vehicle-merging problem. Transportation Research, 3, 123–133. doi: 10.1016/0041-1647(69)90109-9
   Google Scholar
• Awal, T., Kulik, L., & Ramamohanrao, K. (2013a). A k-leader fuel-efficient traffic model. IEEE intelligent vehicles symposium, Gold Coast, QLD, Queensland, Australia (pp. 1014–1021).
   Google Scholar
• Awal, T., Kulik, L., & Ramamohanrao, K. (2013b). Optimal traffic merging strategy for communication- and sensor-enabled vehicles. IEEE conference on intelligent transportation systems ITSC, The Hague, The Netherlands (pp. 1468–1474).
   Google Scholar
• Bertini, R. L., & Malik, S. (2004). Observed dynamic traffic features on freeway section with merges and diverges. Transportation Research Record, 1867, 25–35. doi: 10.3141/1867-04
   Web of Science ®Google Scholar
• Bishop, J. R., & Stevens, W. (1993). Precursor systems analyses of an automated highway system. 43rd IEEE vehicular technology conference, Secaucus, New Jersey, USA (pp. 364–367).
   Google Scholar
• Daamen, W., van Arem, B., & Bouma, I. (2011). Microscopic dynamic traffic management: Simulation of two typical situations. 14th IEEE international intelligent transportation systems conference, ITSC, Washington, DC, USA (pp. 1898–1903).
   Google Scholar
• Daamen, W., Loot, M., & Hoogendoorn, S. P. (2010). Empirical analysis of merging behavior at freeway on-ramp. Transportation Research Record: Journal of the Transportation Research Board, 2188, 108–118. doi: 10.3141/2188-12
   Web of Science ®Google Scholar
• Darbha, S., & Rajagopal, K. R. (1999). Intelligent cruise control systems and traffic flow stability. Transportation Research Part C: Emerging Technologies, 7, 329–352. doi: 10.1016/S0968-090X(99)00024-8
   Web of Science ®Google Scholar
• Davis, L. C. (2007). Effect of adaptive cruise control systems on mixed traffic flow near an on-ramp. Physica A: Statistical Mechanics and its Applications, 379, 274–290. doi: 10.1016/j.physa.2006.12.017
   Web of Science ®Google Scholar
• DfT. (2011). Design manual for roads and bridges. Great Britain: Department of Transport.
   Google Scholar
• FHA. (2004). Traffic analysis toolbox. McLean, VA: U.S. Department of Transportation, Federal Highway Administration, Research, Development and Technology.
   Google Scholar
• Fukutome, I., & Moskowitz, K. (1960). Traffic behavior and on-ramp design. Highway Research Board Bulletin, 235, 38–72.
   Google Scholar
• Halati, A., Lieu, H., & Walker, S. (1997). CORSIM-corridor traffic simulation model. In R. F. Benekohal (Ed.), Traffic congestion and traffic safety in the 21st century: Challenges, innovations, and opportunities (pp. 570–576). New York, NY: American Society of Civil Engineers.
   Google Scholar
• Hall, R. W., & Li, C. (2001). Evaluation of priority rules for entrance to automated highways. ITS Journal, 6, 175–193.
   Google Scholar
• Harwood, D. W., & Mason, J. M. (1993). Ramp/mainline speed relationships and design considerations. Transportation Research Record, 1385, 121–125.
   Google Scholar
• Hunter, M., Machemehl, R., & Tsyganov, A. (2001). Operational evaluation of freeway ramp design. Transportation Research Record: Journal of the Transportation Research Board, 1751, 90–100. doi: 10.3141/1751-11
   Web of Science ®Google Scholar
• Kachroo, P., & Li, Z. (1997). Vehicle merging control design for an automated highway system. IEEE conference on intelligent transportation systems, ITS, Boston, MA, USA (pp. 224–229).
   Google Scholar
• Kanavalli, A., Ranga, L. V. U., Sathish, A. G., Shenoy, P. D., Venugopal, K. R., & Patnaik, L. M. (2008). Proactive sliding — window strategy for merging sensor-enabled cars. 16th IEEE international conference on networks, ICON, New Delhi, India (pp. 1–5).
   Google Scholar
• Kato, S., Tsugawa, S., Tokuda, K., Matsui, T., & Fujii, H. (2002). Vehicle control algorithms for cooperative driving with automated vehicles and intervehicle communications. IEEE Transactions on Intelligent Transportation Systems, 3, 155–161. doi: 10.1109/TITS.2002.802929
   Web of Science ®Google Scholar
• Kerner, B. S. (2007). On-ramp metering based on three-phase traffic theory — Part II. Traffic Engineering and Control, 48, 68–75.
   Google Scholar
• Leclercq, L., Laval, J. A., & Chiabaut, N. (2011). Capacity drops at merges: An endogenous model. Transportation Research Part B: Methodological, 45, 1302–1313. doi: 10.1016/j.trb.2011.05.007
   Web of Science ®Google Scholar
• Lu, X-.Y., Tan, H-.S., Shladover, S., & Hedrick, J. K. (2001). Nonlinear longitudinal controller implementation and comparison for automated cars. Journal of Dynamic Systems, Measurement, and Control, 123, 161–167. doi: 10.1115/1.1368115
   Web of Science ®Google Scholar
• Lu, X-.Y., Tan, H-.S., Shladover, S. E., & Hedrick, J. K. (2004). Automated vehicle merging maneuver implementation for AHS. Vehicle System Dynamics, 41, 85–107. doi: 10.1076/vesd.41.2.85.26497
   Web of Science ®Google Scholar
• Mammano, F. J., & Bishop, J. R. (1992). Status of IVHS technical developments in the United States. 42nd IEEE vehicular technology conference, Denver, CO, USA (pp. 85–88).
   Google Scholar
• Marinescu, D., Curn, J., Bouroche, M., & Cahill, V. (2012). On-ramp traffic merging using cooperative intelligent vehicles: A slot-based approach. 15th International IEEE conference on intelligent transportation systems, ITSC, Anchorage, AK, USA (pp. 900–906).
   Google Scholar
• Marinescu, D., Curn, J., Slot, M., Bouroche, M., & Cahill, V. (2010). An active approach to guaranteed arrival times based on traffic shaping. 13th International IEEE conference on intelligent transportation systems, ITSC, Funchal, Portugal (pp. 1711–1717).
   Google Scholar
• Masher, D. P. (1975). Guidelines for design and operation of ramp control systems. Menlo Park, CA: Stanford Research Institute.
   Google Scholar
• MathWorks. (2013). MATLAB. Retrieved from www.mathworks.com
   Google Scholar
• Milanes, V., Godoy, J., Villagra, J., & Perez, J. (2011). Automated on-ramp merging system for congested traffic situations. IEEE Transactions on Intelligent Transportation Systems, 12, 500–508. doi: 10.1109/TITS.2010.2096812
   Web of Science ®Google Scholar
• MULTITUDE. (2014). Traffic simulation: Case for guidelines. Publications Office of the European Union, MULTITUDE project — methods and tools for supporting the Use caLibration and validaTIon of Traffic simUlation moDEls.
   Google Scholar
• NEARCTIS. (2009). Preliminary report on the review of the state of knowledge and capability in relevant technologies. Technical Report. NEARCTIS Consortium, European Commission.
   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, 58–64.
   Google Scholar
• Papageorgiou, M., & Kotsialos, A. (2002). Freeway ramp metering: An overview. IEEE Transactions on Intelligent Transportation Systems, 3, 271–281. doi: 10.1109/TITS.2002.806803
   Web of Science ®Google Scholar
• Park, H., Bhamidipati, C. S., & Smith, B. L. (2011). Development and evaluation of enhanced intellidrive-enabled lane changing advisory algorithm to address freeway merge conflict. Transportation Research Record: Journal of the Transportation Research Board, 2243, 146–157. doi: 10.3141/2243-17
   Web of Science ®Google Scholar
• PTV. (2013). VISSIM. Retrieved from http://vision-traffic.ptvgroup.com
   Google Scholar
• Pueboobpaphan, R., Liu, F., & van Arem, B. (2010). The impacts of a communication based merging assistant on traffic flows of manual and equipped vehicles at an on-ramp using traffic flow simulation. 13th International IEEE conference on intelligent transportation systems, ITSC, Funchal, Portugal (pp. 1468–1473).
   Google Scholar
• Ran, B., Leight, S., & Chang, B. (1999). A microscopic simulation model for merging control on a dedicated-lane automated highway system. Transportation Research Part C: Emerging Technologies, 7, 369–388. doi: 10.1016/S0968-090X(99)00028-5
   Web of Science ®Google Scholar
• Sarachik, P. E., & Chu, K-.C. (1975). Real-time merging of high-speed vehicular strings. Transportation Science, 9, 122–138. doi: 10.1287/trsc.9.2.122
   Google Scholar
• Scarinci, R., Hegyi, A., & Heydecker, B. G. (2013a). Cooperative ramp metering — a study of the practicality of a ramp metering development using intelligent vehicles. 45th Annual UTSG universities’ transport study group conference, Oxford, UK.
   Google Scholar
• Scarinci, R., Heydecker, B. G., & Hegyi, A. (2013b). Analysis of traffic performance of a ramp metering strategy using cooperative vehicles. 16th International IEEE Conference on Intelligent Transportation Systems — ITSC, The Hague, The Netherlands.
   Google Scholar
• Shladover, S. E. (1980). Operation of merge junctions in a dynamically entrained automated guideway transit system. Transportation Research Part A: General, 14, 85–112. doi: 10.1016/0191-2607(80)90109-0
   Google Scholar
• Shladover, S. E. (1991). Longitudinal control of automotive vehicles in close-formation platoons. Journal of Dynamic Systems, Measurement, and Control, 113, 231–241. doi: 10.1115/1.2896370
   Web of Science ®Google Scholar
• Sivaraman, S., Trivedi, M. M., Tippelhofer, M., & Shannon, T. (2013). Merge recommendations for driver assistance: A cross-modal, cost-sensitive approach. IEEE intelligent vehicles symposium, Gold Coast, QLD, Queensland, Australia (pp. 411–416).
   Google Scholar
• Swaroop, D., & Hedrick, J. K. (1999). Constant spacing strategies for platooning in automated highway systems. Journal of Dynamic Systems, Measurement, and Control, 121, 462–470. doi: 10.1115/1.2802497
   Web of Science ®Google Scholar
• Tignor, S. C. (1975). Operational analyses of freeway moving-merge systems. Transportation Research Record, 533, 1–21.
   Google Scholar
• Treiber, M., Hennecke, A., & Helbing, D. (2000). Congested traffic states in empirical observations and microscopic simulations. Physical Review E, 62, 1805–1824. doi: 10.1103/PhysRevE.62.1805
   PubMed Web of Science ®Google Scholar
• Uno, A., Sakaguchi, T., & Tsugawa, S. (1999). Merging control algorithm based on inter-vehicle communication. IEEE international conference on intelligent transportation systems, Tokyo, Japan (pp. 783–787).
   Google Scholar
• Vandenberghe, W., Vanhauwaert, E., Verbrugge, S., Moerman, I., & Demeester, P. (2012). Feasibility of expanding traffic monitoring systems with floating car data technology. IET Intelligent Transport Systems, 6, 347–354. doi: 10.1049/iet-its.2011.0221
   Web of Science ®Google Scholar
• VanderWerf, J., Shladover, S., Kourjanskaia, N., Miller, M., & Krishnan, H. (2001). Modeling effects of driver control assistance systems on traffic. Transportation Research Record, 1748, 167–174. doi: 10.3141/1748-21
   Google Scholar
• Varaiya, P. (1993). Smart cars on smart roads: Problems of control. IEEE Transactions on Automatic Control, 38, 195–207. doi: 10.1109/9.250509
   Web of Science ®Google Scholar
• VW. (2014). FOSIM, Freeway Operations SIMulation. Retrieved from www.fosim.nl
   Google Scholar
• Wang, Y., Wenjuan, E., Tang, W., Tian, D., Lu, G., & Yu, G. (2013). Automated on-ramp merging control algorithm based on internet-connected vehicles. IET Intelligent Transport Systems, 7, 371–379. doi: 10.1049/iet-its.2011.0228
   Web of Science ®Google Scholar
• Wang, Z., Kulik, L., & Ramamohanarao, K. (2007). Proactive traffic merging strategies for sensor-enabled cars. VANET'07: Fourth ACM international workshop on vehicular ad hoc networks, Montreal, QC, Canada (pp. 39–48).
   Google Scholar
• Wei, J., Dolan, J. M., & Litkouhi, B. (2013). Autonomous vehicle social behavior for highway entrance ramp management. IEEE intelligent vehicles symposium, Gold Coast, QLD, Queensland, Australia (pp. 201–207).
   Google Scholar
• Xu, Q., & Sengupta, R. (2003). Simulation, analysis, and comparison of ACC and CACC in highway merging control. IEEE intelligent vehicles symposium, Gold Coast, QLD, Queensland, Australia (pp. 237–242).
   Google Scholar
• Yang, C., & Kurami, K. (1993). Longitudinal guidance and control for the entry of vehicles onto automated highways. 32nd IEEE conference on decision and control, San Antonio, TX, USA (p. 1891–1896).
   Google Scholar
• Yang, C., Milacic, M., & Kurami, K. (1993). A longitudinal control concept for merging of automated vehicles. Intelligent vehicles symposium, Tokyo, Japan (pp. 408–413).
   Google Scholar
• Yi, H., & Mulinazzi, T. E. (2007). Urban freeway on-ramps: Invasive influences on main-line operations. Transportation Research Record, 2023, 112–119. doi: 10.3141/2023-12
   Web of Science ®Google Scholar