Intersection Redesign for Network Resilience and Safety
Abstract
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.
References
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.
Copyright (c) 2021 Antonio Pratelli, Pietro Leandri, Rosaria Aiello, Reginald Roy Souleyrette
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).