Technical Papers
Jun 1, 2021

Factors Contributing to Operating Speeds on Arterial Roads by Context Classifications

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 8

Abstract

The aim of this study was to evaluate and identify the factors influencing operating speed considering context classification. The study focused on three context classifications: C3R–Suburban Residential, C3C–Suburban Commercial, and C4–Urban General. Tobit models were proposed and developed using big data, including traffic and roadway characteristics, land-use attributes, and sociodemographic information. Three years of INRIX speed data were obtained to calculate the 85th-percentile speed. The study proposed an approach to adjust the 85th-percentile speed from INRIX data, given that traffic flow on arterials could be disrupted by signalized intersections. Afterward, empirical analysis was conducted by developing three Tobit models: Generic, C3C/C3R, and C4 models using the adjusted 85th-percentile speed. For the three developed models, several variables [e.g., inside shoulder width, speed limit, and number of signalized intersections per mile (1.609 km)] were found to have significant influence on the 85th-percentile speed. The analysis also revealed potential speed management countermeasures that have significant impact on the 85th-percentile speed which, when implemented, could reduce speed-related crashes and enhance the safety of vulnerable road users.

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Data Availability Statement

Some or all data, models, or code used during the study were provided by a third party. Direct request for these materials may be made to the provider as indicated in the Acknowledgments.

Acknowledgments

The research discussed in this paper was funded by FDOT. The data used in this work were provided from FDOT and INRIX. This paper and its contents, including conclusions and results, are solely those of the authors; they do not represent opinions or policies of the funding agency.

References

Afghari, A. P., M. M. Haque, and S. Washington. 2018. “Applying fractional split model to examine the effects of roadway geometric and traffic characteristics on speeding behavior.” Traffic Inj. Prev. 19 (8): 860–866. https://doi.org/10.1080/15389588.2018.1509208.
Bhowmik, T., S. Yasmin, and N. Eluru. 2019. “A multilevel generalized ordered probit fractional split model for analyzing vehicle speed.” Anal. Methods Accid. Res. 21 (Mar): 13–31. https://doi.org/10.1016/j.amar.2018.12.001.
Cheng, J., G. Li, and X. Chen. 2018. “Research on travel time prediction model of freeway based on gradient boosting decision tree.” IEEE Access 7 (Dec): 7466–7480. https://doi.org/10.1109/ACCESS.2018.2886549.
Dangeti, M. R., S. S. Pulugurtha, V. Vasudevan, and S. S. Nambisan. 2010. “Evaluating ITS-based countermeasures—How effective are they in enhancing pedestrian safety.” In Vol. 11 of Proc., 89th Annual Transportation Research Board Meeting, 1–19. Washington, DC: Transportation Research Board.
Debnath, A. K., R. Blackman, and N. Haworth. 2014. “A Tobit model for analyzing speed limit compliance in work zones.” Saf. Sci. 70 (Dec): 367–377. https://doi.org/10.1016/j.ssci.2014.07.012.
Dinh, D. D., and H. Kubota. 2013. “Drivers’ perceptions regarding speeding and driving on urban residential streets with a 30km/h speed limit.” IATSS Res. 37 (1): 30–38. https://doi.org/10.1016/j.iatssr.2012.12.001.
Distefano, N., and S. Leonardi. 2019. “Evaluation of the benefits of traffic calming on vehicle speed reduction.” Civ. Eng. Archit. 7 (4): 200–214. https://doi.org/10.13189/cea.2019.070403.
Donnell, E. T., S. C. Hines, K. M. Mahoney, R. J. Porter, and H. McGee. 2009. Speed concepts: Informational guide. Washington, DC: Federal Highway Administration.
Eluru, N., and C. R. Bhat. 2007. “A joint econometric analysis of seat belt use and crash-related injury severity.” Accid. Anal. Prev. 39 (5): 1037–1049. https://doi.org/10.1016/j.aap.2007.02.001.
Eluru, N., V. Chakour, M. Chamberlain, and L. F. Miranda-Moreno. 2013. “Modeling vehicle operating speed on urban roads in Montreal: A panel mixed ordered probit fractional split model.” Accid. Anal. Prev. 59 (Oct): 125–134. https://doi.org/10.1016/j.aap.2013.05.016.
Fambro, D. B., K. Fitzpatrick, and C. W. Russell. 2000. “Operating speed on crest vertical curves with limited stopping sight distance.” Transp. Res. Rec. 1701 (1): 25–31. https://doi.org/10.3141/1701-04.
FDOT (Florida Department of Transportation). 2020a. FDOT context classification guide. Tallahassee, FL: FDOT.
FDOT (Florida Department of Transportation). 2020b. FDOT design manual-202 speed management. Tallahassee, FL: FDOT.
FHWA (Federal Highway Administration). 2014. Texture of concrete pavements. Washington, DC: FHWA.
Fitzpatrick, K., P. Carlson, M. Brewer, and M. Wooldridge. 2001. “Design factors that affect driver speed on suburban streets.” Transp. Res. Rec. 1751 (1): 18–25. https://doi.org/10.3141/1751-03.
Fitzpatrick, K., P. Carlson, M. A. Brewer, M. D. Wooldridge, and S.-P. Miaou. 2003. Design speed, operating speed, and posted speed practices. Washington, DC: National Cooperative Highway Research Program.
Gaca, S., and M. Kiec. 2016. “Speed management for local and regional rural roads.” Transp. Res. Procedia 14: 4170–4179. https://doi.org/10.1016/j.trpro.2016.05.388.
Gamaleldin, G., H. Al-Deek, A. Sandt, A. El-Urfali, M. I. Kayes, and V. Gamero. 2020. “Roadway context classification approach for developing regional safety performance functions for Florida intersections.” Transp. Res. Rec. 2674 (2): 191–202. https://doi.org/10.1177/0361198120906377.
Gattis, J. L., and A. Watts. 1999. “Urban street speed related to width and functional class.” J. Transp. Eng. 125 (3): 193–200. https://doi.org/10.1061/(ASCE)0733-947X(1999)125:3(193).
Gong, H., and N. Stamatiadis. 2008. “Operating speed prediction models for horizontal curves on rural four-lane highways.” Transp. Res. Rec. 2075 (1): 1–7. https://doi.org/10.3141/2075-01.
Guo, Y., T. Sayed, and M. Essa. 2020. “Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections.” Accid. Anal. Prev. 144 (Sep): 105660. https://doi.org/10.1016/j.aap.2020.105660.
Himes, S. C., and E. T. Donnell. 2010. “Speed prediction models for multilane highways: Simultaneous equations approach.” J. Transp. Eng. 136 (10): 855–862. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000149.
Hou, Q., X. Huo, and J. Leng. 2020. “A correlated random parameters tobit model to analyze the safety effects and temporal instability of factors affecting crash rates.” Accid. Anal. Prev. 134 (Jan): 105326. https://doi.org/10.1016/j.aap.2019.105326.
Islam, M. T., and K. El-Basyouny. 2013. “An integrated speed management plan to reduce vehicle speeds in residential areas: Implementation and evaluation of the Silverberry action plan.” J. Saf. Res. 45 (Jun): 85–93. https://doi.org/10.1016/j.jsr.2013.01.010.
Jacob, A., and M. V. L. R. Anjaneyulu. 2013. “Operating speed of different classes of vehicles at horizontal curves on two-lane rural highways.” J. Transp. Eng. 139 (3): 287–294. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000503.
Krammes, R. A., R. Q. Brackett, M. A. Shafer, J. L. Ottesen, I. B. Anderson, K. L. Fink, K. M. Collins, O. J. Pendleton, and C. J. Messer. 1995. Horizontal alignment design consistency for rural two-lane highways. Washington, DC: Federal Highway Administration, USDOT.
Lantieri, C., R. Lamperti, A. Simone, M. Costa, V. Vignali, C. Sangiorgi, and G. Dondi. 2015. “Gateway design assessment in the transition from high to low speed areas.” Transp. Res. Part F Psychol. Behav. 34 (Oct): 41–53. https://doi.org/10.1016/j.trf.2015.07.017.
Lee, J., M. Abdel-Aty, and I. Shah. 2019. “Evaluation of surrogate measures for pedestrian trips at intersections and crash modeling.” Accid. Anal. Prev. 130 (Sep): 91–98. https://doi.org/10.1016/j.aap.2018.05.015.
Mahmoud, N., M. Abdel-Aty, Q. Cai, and J. Yuan. 2021a. “Estimating cycle-level real-time traffic movements at signalized intersections.” J. Intell. Transp. Syst. 1–24. https://doi.org/10.1080/15472450.2021.1890072.
Mahmoud, N., M. Abdel-Aty, Q. Cai, and J. Yuan. 2021b. “Predicting cycle-level traffic movements at signalized intersections using machine learning models.” Transp. Res. Part C Emerging Technol. 124 (Mar): 102930. https://doi.org/10.1016/j.trc.2020.102930.
Medina, A. M. F., and A. P. Tarko. 2005. “Speed factors on two-lane rural highways in free-flow conditions.” Transp. Res. Rec. 1912 (1): 39–46. https://doi.org/10.1177/0361198105191200105.
Park, E. S., K. Fitzpatrick, S. Das, and R. Avelar. 2021. “Exploration of the relationship among roadway characteristics, operating speed, and crashes for city streets using path analysis.” Accid. Anal. Prev. 150 (Feb): 105896. https://doi.org/10.1016/j.aap.2020.105896.
Perco, P. 2008. “Influence of the general character of horizontal alignment on operating speed of two-lane rural roads.” Transp. Res. Rec. 2075 (1): 16–23. https://doi.org/10.3141/2075-03.
Poe, C. M., and J. Mason. 2000. “Analyzing influence of geometric design on operating speeds along low-speed urban streets mixed-model approach.” Transp. Res. Rec. 1737 (1): 18–25. https://doi.org/10.3141/1737-03.
Polus, A., K. Fitzpatrick, and D. B. Fambro. 2000. “Predicting operating speeds on tangent sections of two-lane rural highways.” Transp. Res. Rec. 1737 (1): 50–57. https://doi.org/10.3141/1737-07.
Qiao, W., A. Haghani, and M. Hamedi. 2013. “A nonparametric model for short-term travel time prediction using bluetooth data.” J. Intell. Transp. Syst. 17 (2): 165–175.
Rifaat, S. M., R. Tay, and A. De Barros. 2011. “Effect of street pattern on the severity of crashes involving vulnerable road users.” Accid. Anal. Prev. 43 (1): 276–283. https://doi.org/10.1016/j.aap.2010.08.024.
Semeida, A. M. 2014. “Application of artificial neural networks for operating speed prediction at horizontal curves: A case study in Egypt.” J. Mod. Transp. 22 (1): 20–29. https://doi.org/10.1007/s40534-014-0033-3.
Sigelman, L., and L. Zeng. 2000. “Analyzing censored and sample-selected data with Tobit and Heckit models.” Political Anal. 8 (2): 167–182. https://doi.org/10.1093/oxfordjournals.pan.a029811.
Tobin, J. 1958. “Estimation of relationships for limited dependent variables.” Econometrica: J. Exonometric Soc. 26 (1): 24–36. https://doi.org/10.2307/1907382.
Wali, B., A. J. Khattak, and N. Ahmad. 2019. “Examining correlations between motorcyclist’s conspicuity, apparel related factors and injury severity score: Evidence from new motorcycle crash causation study.” Accid. Anal. Prev. 131 (Oct): 45–62. https://doi.org/10.1016/j.aap.2019.04.009.
Wang, B., S. Hallmark, P. Savolainen, and J. Dong. 2018. “Examining vehicle operating speeds on rural two-lane curves using naturalistic driving data.” Accid. Anal. Prev. 118 (Sep): 236–243. https://doi.org/10.1016/j.aap.2018.03.017.
Zeng, Q., H. Wen, H. Huang, and M. Abdel-Aty. 2017. “A Bayesian spatial random parameters Tobit model for analyzing crash rates on roadway segments.” Accid. Anal. Prev. 100 (Mar): 37–43. https://doi.org/10.1016/j.aap.2016.12.023.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 147Issue 8August 2021

History

Received: Oct 21, 2020
Accepted: Mar 2, 2021
Published online: Jun 1, 2021
Published in print: Aug 1, 2021
Discussion open until: Nov 1, 2021

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Authors

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Nada Mahmoud, Ph.D. [email protected]
Post-Doctoral Scholar, Dept. of Civil, Environmental, and Construction Engineering, Univ. of Central Florida, 12800 Pegasus Dr., Suite 211, P.O. Box 162450, Orlando, FL 32826 (corresponding author). Email: [email protected]
Pegasus Professor and Chair, Dept. of Civil, Environmental, and Construction Engineering, Univ. of Central Florida, 12800 Pegasus Dr., Suite 211, P.O. Box 162450, Orlando, FL 32826. ORCID: https://orcid.org/0000-0002-4838-1573. Email: [email protected]
Qing Cai, Ph.D. [email protected]
Assistant Professor, Dept. of Civil, Environmental, and Construction Engineering, Univ. of Central Florida, 12800 Pegasus Dr., Suite 211, P.O. Box 162450, Orlando, FL 32826. Email: [email protected]

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