A Controller Interface Device (CID) is a hardware that connects a signal controller to simulation software. Running traffic simulation with an actual controller is called hardware-in-the-loop simulation (HILS) and is an important tool for simulating the operations of traffic signals. In practice, it has been found that the existing traditional CIDs have some limitations, particularly when simulating multiple signals. In this regard, a Virtual CID (VCID) is proposed in this study. VCID can connect traffic signal controllers to a micro-simulation software through the National Transportation Communications for ITS Protocol (NTCIP). A case study is conducted that uses the same traffic networks to compare the performance of VCID to CID. Queue length, travel time and simulation stability are considered in the evaluation. Results show that VCID could provide accurate and reliable simulation results. In comparison to traditional CIDs, VCID has more advantages as it does not depend on any hardware device and is easy to operate. In addition, since the communications are transformed through Ethernet, thus providing a convenient learning and testing environment for those who do not own a physical signal control laboratory. Therefore, VCID will have a broader prospect for development than CID.

References

1. 1)
  - 14. Koonce, P., Urbanik, T.II, Bullock, D.: ‘Evaluation of diamond interchange signal controller settings using hardware-in-the-loop simulation’, Transp. Res. Rec., J. Transp. Res. Board, 1999, 1683, pp. 59–66.
2. 2)
  - 2. Law, A.M., Kelton, W.D.: ‘Simulation modeling and analysis’ (McGraw-Hill, New York, 2000, 3rd edn.).
3. 3)
  - 9. Bullock, D., Johnson, B., Wells, R., et al: ‘Hardware in the loop simulation’, Transp. Res. C, Emerg. Technol., 2004, 12, (1), pp. 73–89.
4. 4)
  - 22. Hamilton, C.L.: ‘Evaluation of Traffic Signal Controller Transition Methods’. Master Thesis, Science. Texas A&M University, 2000.
5. 5)
  - 24. Lee, J., Williams, B.M.: ‘Development and evaluation of a constrained optimization model for traffic signal plan transition’, Transp. Res. C, Emerg. Technol., 2012, 20, (1), pp. 185–198.
6. 6)
  - 16. Tian, Z., Ohene, F., Hu, P.: ‘Arterial performance evaluation on an adaptive traffic signal control system’, Procedia - Soc. Behav. Sci., 2011, 16, pp. 230–239.
7. 7)
  - 10. Sisle, M.E., McCarthy, E.D.: ‘Hardware-in-the-loop simulation for an active missile’, Simulation, 1982, 39, pp. 159–167.
8. 8)
  - 6. Stevanovic, A., Abdel-Rahim, A., Zlatkovic, M., et al: ‘Microscopic modeling of traffic signal operations: comparative evaluation of hardware-in-the-loop and software-in-the-loop simulations’, Transp. Res. Rec., J. Transp. Res. Board, 2009, 2128, pp. 143–151.
9. 9)
  - 8. Engelbrecht, R., Poe, C., Balke, K.: ‘Development of a distributed hardware-in-the-loop simulation system for transportation networks’. Presented at78th Annual Meeting of the Transportation Research Board, Washington, DC, 1999.
10. 10)
  - 21. Mao, D., Xu, H.: ‘Pedestrian crossing caused signal transition study’. Master Thesis, Civil and Environmental Engineering, University of Nevada, Reno, 2015.
11. 11)
  - 13. Fambro, D.B., Rouphail, N.M.: ‘Generalized delay model for signalized intersections and arterial streets’, Transp. Res. Rec., J. Transp. Res. Board, 1997, 1572, pp. 112–121.
12. 12)
  - 18. Gholami, A., Tian, Z., Wang, B.: ‘Mathematical model of pedestrian timing accommodation into signal coordination’ (Transportation Research Board, Washington, DC, 2017).
13. 13)
  - 23. Shelby, S., Bullock, D., Gettman, D.: ‘Transition methods in traffic signal control’, Transp. Res. Rec., J. Transp. Res. Board, 2006, 1978, (1), pp. 130–140.
14. 14)
  - 7. Gholami, A., Tian, Z.: ‘Using stop bar detector information to determine turning movement proportions in shared lanes’, J. Adv. Transp., 2016, 50, pp. 802–817.
15. 15)
  - 11. Bullock, D., Catarella, A.: ‘A real-time simulation environment for evaluating traffic signal systems’, Transp. Res. Rec., J. Transp. Res. Board, 1998, 1634, pp. 130–135.
16. 16)
  - 19. Gholami, A., Tian, Z.: ‘Multicriteria-based guideline for pedestrian timing accommodation in signal coordination’, ASCE J. Transp. Eng. A, Syst., 2017, 143, (3), 04016012.
17. 17)
  - 25. Ross, P.: ‘An evaluation of network signal timing transition algorithms’, Transp. Eng., 1977, 47, (9), pp. 17–21.
18. 18)
  - 12. Rouphail, N.M., Anwar, M., Fambro, D.B., et al: ‘Validation of generalized delay model for vehicle-actuated traffic signals’, Transp. Res. Rec., J. Transp. Res. Board, 1997, 1572, pp. 105–111.
19. 19)
  - 20. Cohen, D., Head, L., Shelby, S.: ‘Performance analysis of coordinated traffic signals during transition’ (Transportation Research Record, Washington, DC, 2007).
20. 20)
  - 15. Yun, I., Best, M., Park, B.: ‘Evaluation of adaptive maximum feature in actuated traffic controller: hardware-in-the-loop simulation’, Transp. Res. Rec., J. Transp. Res. Board, 2007, 2035, pp. 134–140.
21. 21)
  - 17. Stevanovic, A., Kergaye, C., Martin, P.T.: ‘Field evaluation of scats traffic control in Park City, UT’. Published at15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting, 2008, 5, pp. 2934–2945.
22. 22)
  - 4. Abdel-Rahim, A., Li, Z., Kyte, M.: ‘Hardware-in-the-loop simulation: what's the difference?’. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, DC, 2004.
23. 23)
  - 5. Hunter, M.P., Roe, M., Wu, S.K.: ‘Hardware-in-the-loop simulation evaluation of adaptive signal control’, Transp. Res. Rec., J. Transp. Res. Board, 2010, 2192, pp. 167–176.
24. 24)
  - 1. Goldsman, D.: ‘Introduction to simulation’. Winter Simulation Conf., Washington, DC, 2007, pp. 26–37.
25. 25)
  - 3. Chen, X., Salem, M., Das, T., et al: ‘Real time software-in-the-loop simulation for control performance validation’, Simulation, 2008, 84, (8-9), pp. 457–471.

Comparison of performance between Virtual Controller Interface Device and Controller Interface Device

References

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