This paper describes a procedure for improving the resilience of roadway networks. A methodology is outlined that develops a time-dependent and performance-based resilience index. This methodology was applied to an Italian road, with the aim of optimizing intersections that are critical due to inadequate baseline capacity. The methodology uses a calibrated microscopic traffic model (using Aimsun™) whereby average delay at intersection approaches are estimated by an analytical model. From the simulation, average speed over time is obtained for each approach. These values in turn are used as inputs for calculating each intersection’s resilience index. The procedure allows the identification of less resilient intersections, and provides design solutions for each of them. Lastly, a safety assessment is tested for one of the intersections.
Ouyang M, Dueñas-Osorio L, Min X. A three-stage resilience analysis framework for urban infrastructure systems. Structural Safety. 2012;36-37: 23-31.
Tierney K, Bruneau M. Conceptualizing and measuring resilience: A key to disaster loss reduction. TR News. 2007;250: 14-17.
[3] Maestrelli Leobons C, Barcellos Gouvêa Campos V, DeMello Bandeira A. Assessing urban transportation systems resilience: A proposal of indicators. Transportation Research Procedia. 2019;37: 322-329.
Zhou Y, Wang J, Yang H. Resilience of transportation systems: Concepts and comprehensive review. IEEE Transactions on Intelligent Transportation Systems. 2019;20(12): 4262-4276.
Bruneau M, Chang SE, Eguchi RT, Lee GC, O’Rourke T, Reinhorn AM, Von Winterfeldt D. A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra. 2003;19(4): 733-752.
Balal E, Valdez G, Miramontes J. Comparative evaluation of measures for urban highway network resilience due to traffic incidents. International Journal of Transportation Science and Technology. 2019;8(3): 304-317. DOI: 10.1016/j.ijtst.2019.05.001
Nieves-Meléndez ME. Traffic-based framework for measuring the resilience of ground transportation systems under normal and extreme conditions. PhD thesis. Virginia Polytechnic Institute and State University; 2017. Available from: vtechworks.lib.vt.edu › handle › Nieves-Melendez_ME_D_2017
Nieves-Meléndez ME, De la Garza JM. Resilience frameworks instantiated to vehicular traffic applications. Sustainable and Resilient Infrastructure. 2017;2(2): 75-85.
FHWA. Traffic congestion and reliability: Trends and advanced strategies for congestion mitigation. Cambridge Systematics Inc. Final Report, 2005.
TRB. Performance measurement framework for highway capacity decision. SHRP 2 Report S2-C02-RR, 2009.
Pratelli A, Sechi P, Souleyrette RR. Upgrading traffic circles to modern roundabouts to improve safety and efficiency – Case Studies from Italy. Promet – Traffic&Transportation. 2018;3: 217-29.
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