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Performance evaluation of integrated strategy of vehicle route guidance and traffic signal control using traffic simulation

Performance evaluation of integrated strategy of vehicle route guidance and traffic signal control using traffic simulation

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This study evaluated the integrated strategy performance of vehicle route guidance and traffic signal control methods using traffic simulation. Based on the proposed optimal framework, three typical traffic signal control methods, including fixed signal control, actuated signal control, and regional coordinative signal control, were investigated via plugin applications, integrated with vehicle route guidance. The characteristics of vehicle route guidance approaches were captured using different guidance information updating frequencies and different user compliance rates. The average link occupancy was used as a representation of the network traffic states, and the network performance was measured by the total travel time. A total of 12,480 simulation runs were conducted. Based on the regression results, six integrated strategies were selected into a recommended integration strategy set. The transferability test shows that the performance of the integration strategy set is quite consistent.

References

    1. 1)
      • R. Allsop .
        1. Allsop, R.: ‘Some possibilities for using traffic control to influence trip distribution and route choice’. 6th Int. Symp. on Traffic and Transportation Theory, Amsterdam, Netherlands, 1974, pp. 345374.
        . 6th Int. Symp. on Traffic and Transportation Theory , 345 - 374
    2. 2)
      • M. Smith .
        2. Smith, M.: ‘The existence of an equilibrium solution to the traffic assignment problem when there are junction interactions’, Transp. Res. B, Methodol., 1981, 15, (6), pp. 443451.
        . Transp. Res. B, Methodol. , 6 , 443 - 451
    3. 3)
      • S. Ukkusuri , K. Doan , H. Aziz .
        3. Ukkusuri, S., Doan, K., Aziz, H.: ‘A bi-level formulation for the combined dynamic equilibrium based traffic signal control’, Proc. Soc. Behav. Sci., 2013, 80, pp. 729752.
        . Proc. Soc. Behav. Sci. , 729 - 752
    4. 4)
      • H. Tan , S. Gershwin , M. Athans . (1979)
        4. Tan, H., Gershwin, S., Athans, M.: ‘Hybrid optimization in urban traffic networks’, (U.S. Transportation Systems Center, Cambridge, MA, 1979), pp. 1105.
        .
    5. 5)
      • M. Smith .
        5. Smith, M.: ‘Traffic control and route-choice; a simple example’, Transp. Res. B, Methodol., 1979, 13, (4), pp. 289294.
        . Transp. Res. B, Methodol. , 4 , 289 - 294
    6. 6)
      • M. Smith .
        6. Smith, M.: ‘Traffic signal control and route choice: a new assignment and control model which designs signal timings’, Transp. Res. C, Emerg. Technol., 2015, 58, pp. 451473.
        . Transp. Res. C, Emerg. Technol. , 451 - 473
    7. 7)
      • N. Gartner , M. Al-Malik .
        7. Gartner, N., Al-Malik, M.: ‘Combined model for signal control and route choice in urban traffic networks’, Transp. Res. Rec., 1996, 1554, pp. 2735.
        . Transp. Res. Rec. , 27 - 35
    8. 8)
      • M. Ghatee , S. Hashemi .
        8. Ghatee, M., Hashemi, S.: ‘Descent direction algorithm with multi-commodity flow problem for signal optimization and traffic assignment jointly’, J. Appl. Math. Comput., 2007, 188, (1), pp. 555566.
        . J. Appl. Math. Comput. , 1 , 555 - 566
    9. 9)
      • O. Chen , M. Ben-Akiva .
        9. Chen, O., Ben-Akiva, M.: ‘Game-theoretic formulations of interaction between dynamic traffic control and dynamic traffic assignment’, Transp. Res. Rec., 1998, 1617, pp. 179188.
        . Transp. Res. Rec. , 179 - 188
    10. 10)
      • H. Varia , P. Gundaliya , S. Dhingra .
        10. Varia, H., Gundaliya, P., Dhingra, S.: ‘Application of genetic algorithms for joint optimization of signal setting parameters and dynamic traffic assignment for the real network data’, Res. Transp. Econ., 2013, 38, (1), pp. 3544.
        . Res. Transp. Econ. , 1 , 35 - 44
    11. 11)
      • B. Yin , M. Dridi , A. Moudni .
        11. Yin, B., Dridi, M., Moudni, A.: ‘Traffic network micro-simulation model and control algorithm based on approximate dynamic programming’, IET Intell. Transp. Syst., 2016, 10, (3), pp. 186196.
        . IET Intell. Transp. Syst. , 3 , 186 - 196
    12. 12)
      • H. Aziz , S. Ukkusuri .
        12. Aziz, H., Ukkusuri, S.: ‘An analytical framework for vehicular traffic signal control integrated with dynamic traffic assignment using cell transmission model’. Proc. 14th Int. IEEE Conf. Intelligent Transportation Systems, Washington, USA, 2011, pp. 13551360.
        . Proc. 14th Int. IEEE Conf. Intelligent Transportation Systems , 1355 - 1360
    13. 13)
      • H. Yu , R. Ma , H. Zhang .
        13. Yu, H., Ma, R., Zhang, H.: ‘Optimal traffic signal control under dynamic user equilibrium and link constraints in a general network’, Transp. Res. B, Methodol., 2017, 110, pp. 302325.
        . Transp. Res. B, Methodol. , 302 - 325
    14. 14)
      • K. Chen , L. Yu .
        14. Chen, K., Yu, L.: ‘Microscopic traffic-emission simulation and case study for evaluation of traffic control strategies’, J. Transp. Syst. Eng. Inf. Technol., 2007, 7, (1), pp. 9399.
        . J. Transp. Syst. Eng. Inf. Technol. , 1 , 93 - 99
    15. 15)
      • K. Ozbay , B. Bartin .
        15. Ozbay, K., Bartin, B.: ‘Estimation of economic impact of vms route guidance using microsimulation’, Res. Transp. Econ., 2004, 8, pp. 215241.
        . Res. Transp. Econ. , 215 - 241
    16. 16)
      • R. Fan , H. Yu , P. Liu .
        16. Fan, R., Yu, H., Liu, P., et al: ‘Using VISSIM simulation model and SSAM for estimating field measured traffic conflicts at freeway merge areas’, IET Intell. Transp. Syst., 2013, 7, (1), pp. 6877.
        . IET Intell. Transp. Syst. , 1 , 68 - 77
    17. 17)
      • L. Quadstone .
        17. Quadstone, L.: ‘Paramics user guider version 6.92’ (Edinburgh, UK, 2012).
        .
    18. 18)
      • L. LeBlanc , E. Morlok , W. Pierskalla .
        18. LeBlanc, L., Morlok, E., Pierskalla, W.: ‘An efficient approach to solving the road network equilibrium traffic assignment problem’, Transp. Res., 1975, 9, (5), pp. 309318.
        . Transp. Res. , 5 , 309 - 318
    19. 19)
      • A. Hamilton , B. Waterson , T. Cherrett .
        19. Hamilton, A., Waterson, B., Cherrett, T., et al: ‘The evolution of urban traffic control: changing policy and technology’, Transp. Plann. Technol., 2013, 36, (1), pp. 2443.
        . Transp. Plann. Technol. , 1 , 24 - 43
    20. 20)
      • O. Chen .
        20. Chen, O.: ‘Integration of dynamic traffic control and assignment’, PhD thesis, Massachusetts Institute of Technology, 1998.
        .
    21. 21)
      • J. Vreeswijk , R. Landman , E. van Berkum .
        21. Vreeswijk, J., Landman, R., van Berkum, E., et al: ‘Improving the road network performance with dynamic route guidance by considering the indifference band of road users’, IET Intell. Transp. Syst., 2015, 9, (10), pp. 897906.
        . IET Intell. Transp. Syst. , 10 , 897 - 906
    22. 22)
      • M. Papageorgiou , G. Vigos .
        22. Papageorgiou, M., Vigos, G.: ‘Relating time-occupancy measurements to space-occupancy and link vehicle-count’, Transp. Res. C, Emerg. Technol., 2008, 16, (1), pp. 117.
        . Transp. Res. C, Emerg. Technol. , 1 , 1 - 17
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