Network-level optimization method for road network maintenance programming based on network efficiency

Abstract

To maintain their capacity, transportation infrastructures are in need of regular maintenance and rehabilitation. The major challenge facing transportation engineers is the network-level policies to maintain the deteriorating roads at an acceptable level of serviceability. In this work, a quantitative transportation network efficiency measure is presented and then how to determine optimally network-level road maintenance policy depending on the road importance to the network performance has been demonstrated. The examples show that the different roads should be set different maintenance time points in terms of the retention capacities of the roads, because the different roads play different roles in network and have different important degrees to the network performance. This network-level road maintenance optimization method could not only save lots of infrastructure investments, but also ensure the service level of the existing transportation system.

Keywords

transportation network / maintenance policy / network efficiency / time point / sensitivity analysis

References

[1] Ministry of Transport of the People’s Republic of China. Statistics report of development of transportation and communication in 2013 [EB/OL]. [2014-11-06]. http://www.moc.gov.cn/zhghs/201405/t20140513_1618277.html.

[2] GAZIS, DENOS. Traffic theory [M]. Dordrecht, Netherlands: Kluwer Academic Publishers, 2002.

[3] WuS, ZuoM J. Linear and nonlinear preventive maintenance [J]. IEEE Transactions on Reiability, 2010, 59(1): 242-249

[4] DongR-k, SunL-j, PengYong. Probe into determination of the appropriate time of pavement preventive maintenance [J]. China Safety Science Journal, 2004, 3: 31-35

[5] DurangoP L, MadanatS M. Optimal maintenance and repair policies in infrastructure management under uncertain facility deterioration rates: an adaptive control approach [J]. Transportation Research Part A, 2002, 9: 763-778

[6] FengL-p, MathieuT, ValeriK. Optimizing winter road maintenance operations under real-time information [J]. European Journal of Operational Research, 2009, 1: 332-341

[7] YaoY-l, LiX-h, ZhangB-chao. Integrative evaluation index system for preventive maintenance timing of asphalt pavement [J]. Journal of Traffic and Transportation Engineering, 2007, 5: 48-53

[8] WangC-h, WangL-j, BaiJ-h, LiuY-d, WangX-cang. Research on integration optimization of asphalt pavement preventive maintenance timing and countermeasures during period [J]. China Journal of Highway and Transport, 2010, 23(5): 27-34

[9] Durango-CohenP L, SarutipandP. Maintenance optimization for transportation systems with demand responsiveness [J]. Transportation Research Part C, 2009, 4: 337-348

[10] NodemD, EhayemF I K, JP, GharbiA. Simultaneous control of production, repair/replacement and preventive maintenance of deteriorating manufacturing systems [J]. International Journal of Production Economics, 2011, 1: 271-282

[11] WangX-feng. Model to decide optimal timing of asphalt pavement preventive maintenance [J]. Journal of Changan University: Natural Science Edition, 2011, 3: 7-12

[12] GarzaJ M, AkyildizS. Network-level optimization of pavement maintenance renewal strategies [J]. Advanced Engineering Informatics, 2011, 4: 699-712

[13] YuJ-m, LeeC, ChenL-lei. Survival model-based economic evaluation of preventive maintenance practice on asphalt pavement [J]. Journal of South China University of Technology: Natural Science Edition, 2012, 11: 133-137

[14] BroomfieldJ R. Holistic approach to maintenance and preservation of transportation infrastructure [J]. Transportation Research Record, 2013, 2360: 5-10

[15] CostelloS B, BarghL S, HenningT F P, HendryM. Targeting transportation cost reductions through maintenance-a proposed new pavement performance measure [J]. Road & Transport Research, 2013, 22: 3-13

[16] GuoZ-d, LiuS-l, ZhangX-jun. Decision-making methods for maintenance project of the rural road [J]. Journal of China & Foreign Highway, 2014, 34: 4-7

[17] ChenL H, NgH M, LangevinA, GendreauM. Optimizing road network daily maintenance operations with stochastic service and travel times [J]. Transportation Research Part E, 2014, 64: 88-102

[18] TangT-q, LiC-y, HuangH-j, ShangH-yan. Macro modeling and analysis of traffic flow with road width [J]. Journal of Central South University, 2011, 18: 1757-1764

[19] MaD-f, WangD-h, SongX-m, JinSheng. Optimization method of signal timing parameters considering comprehensive efficiency of all approach lanes [J]. Journal of Central South University: Science and Technology, 2012, 43: 1557-1562

[20] WangJ, WeiD, HeK, GongH, WangP. Encapsulating urban traffic rhythms into road networks [J]. Scientific Reports, 2014, 4: 41-41

[21] LatoraV, MarchioriM. Efficient behavior of small-world networks [J]. Physical Review Letters, 2001, 87: 1-4

[22] LatoraV, MarchioriM. Economic small-world behavior in weighted networks [J]. The European Physical Journal B-Condensed Matter, 2002, 32: 249-263

[23] LatoraV, MarchioriM. Is the Boston subway a small-world networks [J]. Physical A, 2002, 314: 109-113

[24] LatoraV, MarchioriM. How the science of complex networks can help developing strategies against terrorism [J]. Chaos Solitons and Fractals, 2004, 20: 69-75

[25] CrucittiP, LatoraV, MarchioriM, et al.. Efficiency of scale-free networks: error and attack tolerance [J]. Physica A, 2003, 320: 622-642

[26] CrucittiP L, AtoraV, MarchioriM, et al.. Error and attack tolerance of complex networks [J]. Physica A, 2004, 340: 388-394

[27] HsuC-i, ShinH-hung. Small-world network theory in the study of network connectivity and efficiency of complementary international airline alliances [J]. Journal of Air Transport Management, 2008, 14: 123-129

[28] NagurneyA, QiangQ. A network efficiency measure for congested networks [J]. Europhysics Letters, 2007, 79: 1-5

[29] NagurneyA, QiangQ. A network efficiency measure with application to critical infrastructure networks [J]. Journal of Global Optimization, 2008, 40: 261-275

[30] QiangQ, NagurneyA. A unified network performance measure with importance identification and the ranking of network components [J]. Optimization Letters, 2008, 2: 127-142

[31] SheffiYUrban Transportation networks: equilibrium analysis with mathematical programming methods [M], 1985Englewood Cliffs, USAPrentice-Hall Press

[32] JinQ Y H L N. Quantitative efficiency evaluation method for transportation networks [J]. Sustainability, 2014, 12(6): 8364-8378

[33] JinQ, NL-l, FengS. Mixed transportation network design under a sustainable development perspective [J]. Scientific World Journal, 2013, 9: 549735

[34] BraessD. About the paradox of transport planning [J]. Theory and Decision Unternehmenforschung, 1968, 12: 258-268

[35] BraessD, NagurneyA T Wakolbinger. On a paradox of traffic planning [J]. Transportation Science, 2005, 39: 446-450