Safety-oriented urban pavement design and evaluation: integrating microscopic simulation and tyre-pavement friction

References

• Aldagari, S., et al., 2022. Development of predictive models for skid resistance of asphalt pavements and seal coat. International Journal of Pavement Engineering, 23 (3), 695–707.
   Web of Science ®Google Scholar
• Al Rousan, T.M., 2004. Characterization of aggregate shape properties using a computer automated system. College Station, TX: Texas A&M University.
   Google Scholar
• Arai, Y., et al., 2001. Accidents and near-misses analysis by using video drive-recorders in a fleet test.
   Google Scholar
• Araujo, V.M.D.C., et al., 2021. Avaliação das relações entre propriedades de forma de agregados, compactação, parâmetros do esqueleto mineral e textura de revestimentos asfálticos aeroportuários a partir do processamento digital de imagens (pdi). TRANSPORTES (Rio De Janeiro), 29 (1), 1–16.
   Google Scholar
• Arun, A., et al., 2021. A systematic mapping review of surrogate safety assessment using traffic conflict techniques. Accident Analysis & Prevention, 153, 106016.
   PubMed Web of Science ®Google Scholar
• Arun, A., et al., 2022. How many are enough?: investigating the effectiveness of multiple conflict indicators for crash frequency-by-severity estimation by automated traffic conflict analysis. Transportation Research Part C: Emerging Technologies, 138, 103653.
   Web of Science ®Google Scholar
• Belin, M.-Å., Tillgren, P., and Vedung, E., 2012. Vision zero – a road safety policy innovation. International Journal of Injury Control and Safety Promotion, 19 (2), 171–179.
   PubMed Web of Science ®Google Scholar
• Blazquez, C.A., and Celis, M.S., 2013. A spatial and temporal analysis of child pedestrian crashes in Santiago, Chile. Accident Analysis & Prevention, 50, 304–311.
   PubMed Web of Science ®Google Scholar
• Cafiso, S., et al., 2021. Crash modification functions for pavement surface condition and geometric design indicators. Accident Analysis & Prevention, 149, 105887.
   PubMed Web of Science ®Google Scholar
• Canale, A.C., 1989. Automobilística: dinâmica e desempenho.
   Google Scholar
• Chen, J., et al., 2019. Real-time identification system of asphalt pavement texture based on the close-range photogrammetry. Construction and Building Materials, 226, 910–919.
   Web of Science ®Google Scholar
• Choudhary, J., Kumar, B., and Gupta, A., 2020. Utilization of solid waste materials as alternative fillers in asphalt mixes: a review. Construction and Building Materials, 234, 117271.
   Web of Science ®Google Scholar
• Chowdhury, A., et al., 2017. Validation of asphalt mixture pavement skid prediction model and development of skid prediction model for surface treatments. Technical report, Texas. Dept. of Transportation. Research and Technology Implementation Office.
   Google Scholar
• Cooper, P., 1984. Experience with traffic conflicts in Canada with emphasis on “post encroachment time” techniques. In: International calibration study of traffic conflict techniques. Berlin: Springer, 75–96.
   Google Scholar
• Costa, S.L., Cunto, F.J.C., and Branco, V.T.F.C., 2016. Influence of skid resistance in microscopic simulated traffic conflicts. In: 17th international conference road safety on five continents (RS5C 2016), 17–19 May 2016 Rio de Janeiro, Brazil: Statens väg-och transportforskningsinstitut, 1–12.
   Google Scholar
• Cunha, A.L.B.N., and Setti, J.R.A., 2009, September. Fatores de equivalência para caminhões em rodovias de pista dupla. In: 6º Congresso Brasileiro de Rodovias & Concessões – CBR&C 2009. Florianópolis, SC, Brazil (In Portuguese).
   Google Scholar
• Cunto, F.J.C., and Saccomanno, F.F., 2008. Calibration and validation of simulated vehicle safety performance at signalized intersections. Accident Analysis & Prevention, 40 (3), 1171–1179.
   PubMed Web of Science ®Google Scholar
• de Miranda, R.M., et al., 2019. Relationship between black carbon (BC) and heavy traffic in São Paulo, Brazil. Transportation Research Part D: Transport and Environment, 68, 84–98.
   Web of Science ®Google Scholar
• Diógenes, L.M., et al., 2019. The influence of stone crushing processes on aggregate shape properties. Road Materials and Pavement Design, 20 (4), 877–894.
   Web of Science ®Google Scholar
• Diógenes, L., et al., 2021. The influence of crushing processes and mineralogy of aggregates on their shape properties and susceptibility to degradation. Construction and Building Materials, 284, 122745.
   Web of Science ®Google Scholar
• Diógenes, D.F., et al., 2022. An assessment of the relationship between the petrographic, physical, and morphological properties of aggregates used for railway ballast. Construction and Building Materials, 347, 128345.
   Web of Science ®Google Scholar
• Duarte, F., and Ferreira, A., 2016. Energy harvesting on road pavements: state of the art. Proceedings of the Institution of Civil Engineers-Energy, 169 (2), 79–90.
   Web of Science ®Google Scholar
• El Mazouri, F.Z., Abounaima, M.C., and Zenkouar, K., 2019. Data mining combined to the multicriteria decision analysis for the improvement of road safety: case of France. Journal of Big Data, 6, 1–30.
   Google Scholar
• Essa, M., and Sayed, T., 2020. Comparison between surrogate safety assessment model and real-time safety models in predicting field-measured conflicts at signalized intersections. Transportation Research Record, 2674 (3), 100–112.
   Web of Science ®Google Scholar
• Fambro, D.B., et al., 2000. Driver braking performance in stopping sight distance situations. Transportation Research Record, 1701 (1), 9–16.
   Google Scholar
• Fazekas, A., et al., 2017. A novel surrogate safety indicator based on constant initial acceleration and reaction time assumption. Journal of Advanced Transportation, 1–10. Article ID 8376572.
   Web of Science ®Google Scholar
• Flintsch, G.W., et al., 2009. Evaluation of international friction index coefficients for various devices. Transportation Research Record, 2094 (1), 136–143.
   Google Scholar
• Franco, L.A., and Sinatora, A., 2015. 3D surface parameters (iso 25178-2): actual meaning of Spk and its relationship to Vmp. Precision Engineering, 40, 106–111.
   Web of Science ®Google Scholar
• Gettman, D., et al., 2008. Surrogate safety assessment model and validation. Technical report, Turner-Fairbank Highway Research Center.
   Google Scholar
• Gettman, D., and Head, L., 2003. Surrogate safety measures from traffic simulation models. Transportation Research Record, 1840 (1), 104–115.
   Google Scholar
• Giuffrè, O., et al., 2018. Evaluation of roundabout safety performance through surrogate safety measures from microsimulation. Journal of Advanced Transportation, 1–15. Article ID 4915970.
   Web of Science ®Google Scholar
• Gomes, G.A., et al., 2011. Walking for leisure among adults from three Brazilian cities and its association with perceived environment attributes and personal factors. International Journal of uioral Nutrition and Physical Activity, 8 (1), 1–8.
   PubMedGoogle Scholar
• Guido, G., et al., 2011. Comparing safety performance measures obtained from video capture data. Journal of Transportation Engineering, 137 (7), 481–491.
   Web of Science ®Google Scholar
• Hall, J., et al., 2009. Guide for pavement friction. Final Report for NCHRP Project, 1, 43.
   Google Scholar
• Hayward, J.C., 1972. Near miss determination through use of a scale of danger. In: 51st Annual Meeting of the Highway Research Board, Washington District of Columbia, USA. Pennsylvania State University University Park.
   Google Scholar
• Hydén, C., 1996. Traffic safety work with video-processing. Transportation Department, Universitat Kaiserslautern, Fachgebiet Verkehrswesen. https://trid.trb.org/view/567843.
   Google Scholar
• Ibiapina, D.S., 2018. Proposição de um sistema de classificação das propriedades de forma de agregados caracterizados com o uso do processamento digital de imagens para a seleção de materiais brasileiros.
   Google Scholar
• Jiang, W., et al., 2017. Energy harvesting from asphalt pavement using thermoelectric technology. Applied Energy, 205, 941–950.
   Web of Science ®Google Scholar
• Kogbara, R.B., et al., 2018. Relating surface texture parameters from close range photogrammetry to grip-tester pavement friction measurements. Construction and Building Materials, 166, 227–240.
   Web of Science ®Google Scholar
• Kouchaki, S., et al., 2018. Field investigation of relationship between pavement surface texture and friction. Transportation Research Record, 2672 (40), 395–407.
   Web of Science ®Google Scholar
• Kristianssen, A.-C., et al., 2018. Swedish vision zero policies for safety – a comparative policy content analysis. Safety Science, 103, 260–269.
   Web of Science ®Google Scholar
• Kudarauskas, N., 2007. Analysis of emergency braking of a vehicle. Transport, 22 (3), 154–159.
   Web of Science ®Google Scholar
• Kundrak, J., Gyani, K., and Bana, V., 2008. Roughness of ground and hard-turned surfaces on the basis of 3d parameters. The International Journal Of Advanced Manufacturing Technology, 38, 110–119.
   Web of Science ®Google Scholar
• Lacerda, V.M., 2016. Estimação da velocidade média em vias urbanas com uso do microssimulador vissim.
   Google Scholar
• Lopes, M., et al., 2015. Durability of hot and warm asphalt mixtures containing high rates of reclaimed asphalt at laboratory scale. Materials and Structures, 48 (12), 3937–3948.
   Web of Science ®Google Scholar
• Maia, R.S., et al., 2021. Relating weather conditions, drivers' behavior, and tire-pavement friction to the analysis of microscopic simulated vehicular conflicts. Journal of Transportation Engineering, Part B: Pavements, 147 (3), 04021037.
   Web of Science ®Google Scholar
• Matos, B., and Lobo, C., 2023. The barrier effect and pedestrian mobility/accessibility on urban highways: an analysis based on the Belo horizonte/Minas gerais/Brazil ring road. Sustainability, 15 (4), 3408.
   Web of Science ®Google Scholar
• Mayora, J.M.P., and Piña, R.J., 2009. An assessment of the skid resistance effect on traffic safety under wet-pavement conditions. Accident Analysis & Prevention, 41 (4), 881–886.
   PubMed Web of Science ®Google Scholar
• McGennis, R.B., et al., 1995. Background of superpave asphalt mixture design and analysis. Technical report, United States. Federal Highway Administration. Office of Technology Applications.
   Google Scholar
• Medeiros Jr, M., et al., 2021. 3D pavement macrotexture parameters from close range photogrammetry. International Journal of Pavement Engineering, 24 (2), 1–15.
   Web of Science ®Google Scholar
• Morando, M.M., et al., 2018. Studying the safety impact of autonomous vehicles using simulation-based surrogate safety measures. Journal of Advanced Transportation, 1–12. Article ID 6135183.
   Web of Science ®Google Scholar
• Najafi, S., Flintsch, G.W., and Medina, A., 2017. Linking roadway crashes and tire – pavement friction: a case study. International Journal of Pavement Engineering, 18 (2), 119–127.
   Web of Science ®Google Scholar
• Pomoni, M., et al., 2022. Investigation of pavement skid resistance and macrotexture on a long-term basis. International Journal of Pavement Engineering, 23 (4), 1060–1069.
   Web of Science ®Google Scholar
• Pu, L., Joshi, R., and Energy, S., 2008. Surrogate safety assessment model (SSAM) – software user manual. Technical report, Turner-Fairbank Highway Research Center.
   Google Scholar
• Rocha Segundo, I.G. d., et al., 2019. Photocatalytic asphalt pavement: the physicochemical and rheological impact of TiO2 nano/microparticles and ZnO microparticles onto the bitumen. Road Materials and Pavement Design, 20 (6), 1452–1467.
   Web of Science ®Google Scholar
• Salcedo, M.C., Coral, I.B., and Ochoa, G.V., 2018. Characterization of surface topography with abbott firestone curve. Contemporary Engineering Sciences, 11 (68), 3397–3407.
   Google Scholar
• Tighe, S., et al., 2000. Incorporating road safety into pavement management. Transportation Research Record, 1699 (1), 1–10.
   Google Scholar
• Trotta, R.P., Barroso, E.V., and da Motta, L.M.G., 2021. Migmatitic gneiss aggregates: compositional, mechanical, and morphological responses to innate heterogeneity. Engineering Geology, 283, 106002.
   Web of Science ®Google Scholar
• Vasconcelos, L., et al., 2014. Validation of the surrogate safety assessment model for assessment of intersection safety. Transportation Research Record, 2432 (1), 1–9.
   Web of Science ®Google Scholar
• Velloso, M.S., and Jacques, M.A.P., 2012. On-the-spot study of pedestrian crashes on Brazilian federal district rural highways crossing urban areas. Transportation Research Part F: Traffic Psychology and Behaviour, 15 (5), 588–599.
   Web of Science ®Google Scholar
• Wambold, J.C., et al., 1995. International PIARC experiment to compare and harmonize texture and skid resistance measurements. Paris: PIARC (World Road Association).
   Google Scholar
• Wang, C., et al., 2021. A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling. Accident Analysis & Prevention, 157, 106157.
   PubMed Web of Science ®Google Scholar
• Wang, H., and Wang, Z., 2013. Evaluation of pavement surface friction subject to various pavement preservation treatments. Construction and Building Materials, 48, 194–202.
   Web of Science ®Google Scholar
• WHO, 2018. Global status report on road safety 2018: summary. Technical report, World Health Organization.
   Google Scholar
• Witzcak, M.W., 2002. Simple performance test for superpave mix design. NCHRP Report 465. Washington, DC: National Academy Press.
   Google Scholar