- [1] Khayamim, R., et al., A sustainable approach for selecting and timing the urban transportation infrastructure projects in large-scale networks: A case study of Isfahan, Iran. Sustainable Cities and Society, 2020. 53: p. 101981.
- [2] Mahmoudi, R., et al., Determining the relative importance of sustainability evaluation criteria of urban transportation network. Sustainable Cities and Society, 2019. 47: p. 101493.
- [3] Mahmoudi, R.S., Nader; Hejazi, Reza; Emrouznejad, Ali; Rajabi, Parisa;, A hybrid egalitarian bargaining game-DEA and sustainable network design approach for evaluating, selecting and scheduling urban road construction projects. Transportation Research Part E: Logistics and Transportation Review, 2019. 130: p. 161-183.
- [4] Hojjati-Emami, K., B. Dhillon, and K. Jenab, Reliability prediction for the vehicles equipped with advanced driver assistance systems (ADAS) and passive safety systems (PSS). International Journal of Industrial Engineering Computations, 2012. 3(5): p. 731-742.
- [5] Du, Z.-P. and A. Nicholson, Degradable transportation systems: sensitivity and reliability analysis. Transportation Research Part B: Methodological, 1997. 31(3): p. 225-237.
- [6] Naresky, J.J., Reliability definitions. IEEE Transactions on Reliability, 1970. 19(4): p. 198-200.
- [7] Sumalee, A., D.P. Watling, and S. Nakayama, Reliable network design problem: case with uncertain demand and total travel time reliability. Transportation Research Record, 2006. 1964(1): p. 81-90.
- [8] Chen, A., et al., Transport network design problem under uncertainty: a review and new developments. Transport Reviews, 2011. 31(6): p. 743-768.
- [9] Wardrop, J.G. and J. Whitehead, some theoretical aspects of road traffic research. Proceedings of the Institution of Civil Engineers, 1952. 1(5): p. 767-768.
- [10] Herman, R. and T. Lam, Trip time characteristics of journeys to and from work. Transportation and traffic theory, 1974. 6: p. 57-86.
- [11] Richardson, A. and M. Taylor, Travel time variability on commuter journeys. High Speed Ground Transportation Journal, 1978. 12(1).
- [12] Polus, A., A study of travel time and reliability on arterial routes. Transportation, 1979. 8(2): p. 141-151.
- [13] Al-Deek, H. and E.B. Emam, New methodology for estimating reliability in transportation networks with degraded link capacities. Journal of intelligent transportation systems, 2006. 10(3): p. 117-129.
- [14] Van Lint, J., H.J. Van Zuylen, and H. Tu, Travel time unreliability on freeways: Why measures based on variance tell only half the story. Transportation Research Part A: Policy and Practice, 2008. 42(1): p. 258-277.
- [15] Pu, W., Analytic relationships between travel time reliability measures. Transportation Research Record: Journal of the Transportation Research Board, 2011(2254): p. 122-130.
- [16] Institute, T.T., Providing a Highway System with Reliable Travel Times. F-SHRP Web Document 3. Transportation Research Board of the National Academies, Washington, D. C., 2003.
- [17] Clark, S. and D. Watling, Modelling network travel time reliability under stochastic demand. Transportation Research Part B: Methodological, 2005. 39(2): p. 119-140.
- [18] Dui, H., et al., Model and simulation analysis for the reliability of the transportation network. Journal of Simulation, 2020: p. 1-10.
- [19] Liu, J., et al., Connectivity Reliability on an Urban Rail Transit Network from the Perspective of Passenger Travel. Urban Rail Transit, 2020. 6(1): p. 1-14.
- [20] Wakabayashi, H. and Y. Iida, Improvement of road network reliability with traffic management. IFAC Proceedings Volumes, 1994. 27(12): p. 603-608.
- [21] Lee, S., B. Moon, and Y. Asakura, Reliability analysis and calculation on large scale transport networks. Reliability of transport networks. Research Studies Press Ltd, 2000.
- [22] Chen, A., P. Kasikitwiwat, and C. Yang, Alternate capacity reliability measures for transportation networks. Journal of Advanced Transportation, 2013. 47(1): p. 79-104.
- [23] Chiou, J.-M., H.-T. Liou, and W.-H. Chen, Modeling Time-Varying Variability and Reliability of Freeway Travel Time Using Functional Principal Component Analysis. IEEE Transactions on Intelligent Transportation Systems, 2019.
- [24] Zhang, Z., et al., Analyzing travel time reliability and its influential factors of emergency vehicles with generalized extreme value theory. Journal of Intelligent Transportation Systems, 2019. 23(1): p. 1-11.
- [25] Lu, C., et al., Incorporating the standstill distance and time headway distributions into freeway car-following models and an application to estimating freeway travel time reliability. Journal of Intelligent Transportation Systems, 2019: p. 1-20.
- [26] Knoop, V.L., et al., Link-level vulnerability indicators for real-world networks. Transportation Research Part A: Policy and Practice, 2012. 46(5): p. 843-854.
- [27] El-Rashidy, R.A. and S.M. Grant-Muller, An assessment method for highway network vulnerability. Journal of Transport Geography, 2014. 34: p. 34-43.
- [28] Wang, D.Z., et al., Identification of critical combination of vulnerable links in transportation networks–a global optimisation approach. Transportmetrica A: Transport Science, 2016. 12(4): p. 346-365.
- [29] Bagloee, S.A., et al., Identifying critical disruption scenarios and a global robustness index tailored to real life road networks. Transportation Research Part E: Logistics and Transportation Review, 2017. 98: p. 60-81.
- [30] Vodák, R., et al., A deterministic approach for rapid identification of the critical links in networks. PloS one, 2019. 14(7).
- [31] Gecchele, G., R. Ceccato, and M. Gastaldi, Road Network Vulnerability Analysis: Case Study Considering Travel Demand and Accessibility Changes. Journal of Transportation Engineering, Part A: Systems, 2019. 145(7): p. 05019004.
- [32] Cantillo, V., L.F. Macea, and M. Jaller, Assessing vulnerability of transportation networks for disaster response operations. Networks and Spatial Economics, 2019. 19(1): p. 243-273.
- [33] Tian, Z., et al., Key links identification for urban road traffic network based on temporal-spatial distribution of traffic congestion. Modern Physics Letters B, 2019. 33(25): p. 1950307.
- [34] Guo, S., et al., Identifying the most influential roads based on traffic correlation networks. EPJ Data Science, 2019. 8(1): p. 1-17.
- [35] Poorzahedy, H. and S.N.S. Bushehri, Network performance improvement under stochastic events with long-term effects. Transportation, 2005. 32(1): p. 65-85.
- [36] Chen, H. and H.A. Rakha, Real-time travel time prediction using particle filtering with a non-explicit state-transition model. Transportation Research Part C: Emerging Technologies, 2014. 43: p. 112-126.
- [37] Iida, Y. and H. Wakabayashi. An approximation method of terminal reliability of road network using partial minimal path and cut sets. in Transport policy, management & technology towards 2001: selected proceedings of the fifth world conference on transport research. 1989.
- [38] Valiant, L.G., The complexity of enumeration and reliability problems. SIAM Journal on Computing, 1979. 8(3): p. 410-421.
- [39] Shier, D.R., Network reliability and algebraic structures. 1991: Clarendon Press.
- [40] Konak, A. and A. Smith. A general upperbound for all-terminal network reliability and its uses. in Proceedings of the Industrial Engineering Research Conference. 1998.
- [41] Sharafat, A.R. and O.R. Ma'rouzi, All-terminal network reliability using recursive truncation algorithm. IEEE Transactions on Reliability, 2009. 58(2): p. 338-347.
- [42] Satyanarayana, A., A unified formula for analysis of some network reliability problems. IEEE Transactions on Reliability, 1982. 31(1): p. 23-32.
- [43] Fishman, G.S., A Monte Carlo sampling plan for estimating network reliability. Operations Research, 1986. 34(4): p. 581-594.
- [44] Karp, R.M. and M. Luby. Monte-Carlo algorithms for enumeration and reliability problems. in Foundations of Computer Science, 1983., 24th Annual Symposium on. 1983. IEEE.
- [45] Everitt, B. and A. Skrondal, The Cambridge dictionary of statistics. Vol. 106. 2002: Cambridge University Press Cambridge.
- [46] Farahani, R.Z., et al., A review of urban transportation network design problems. European Journal of Operational Research, 2013. 229(2): p. 281-302.
- [47] Bryden, K.M., et al., Optimization of heat transfer utilizing graph based evolutionary algorithms. International Journal of Heat and Fluid Flow, 2003. 24(2): p. 267-277.
- [48] Beheshti, A. and S. Hejazi, A Quantum evolutionary algorithm for the vehicle routing problem with delivery time cost. International Journal of Industrial Engineering and Production Research, 2014. 25(4): p. 287-295.
- [49] Mani, N. and A. Mani, Solving Combinatorial Optimization problems with Quantum inspired Evolutionary Algorithm Tuned using a Novel Heuristic Method. arXiv preprint arXiv:1612.08109, 2016.
- [50] Narayanan, A. and M. Moore. Quantum-inspired genetic algorithms. in Evolutionary Computation, 1996., Proceedings of IEEE International Conference on. 1996. IEEE.
- [51] Han, K.-H. and J.-H. Kim. Genetic quantum algorithm and its application to combinatorial optimization problem. in Evolutionary Computation, 2000. Proceedings of the 2000 Congress on. 2000. IEEE.
- [52] Han, K.-H. and J.-H. Kim, Quantum-inspired evolutionary algorithm for a class of combinatorial optimization. IEEE transactions on evolutionary computation, 2002. 6(6): p. 580-593.
- [53] Zhang, G., Quantum-inspired evolutionary algorithms: a survey and empirical study. Journal of Heuristics, 2011. 17(3): p. 303-351.
- [54] Kourank Beheshti, A. and S.R. Hejazi, A Quantum Evolutionary Algorithm for the Vehicle Routing Problem with Single-sided Time Window Setting. International Journal of Industrial Engineering & Production Research, 2014. 25(4): p. 287-295.
|