Abstract
The rapid development of cities puts forward higher requirements for the resilience of the road network. As one of the unfavorable weathers, rainfall has a great impact on the operation of road traffic. Using weather and vehicle speed data of a city in China, this paper compares and analyzes changes in traffic operation indicators such as the standard speed and the percentage reduction of the standard speed under different rainfall intensities. Results indicate that under the same rainfall conditions and time period, the traffic operation of the elevated road is least affected by rainfall, and the traffic operation of underpass tunnels and flat roads is more affected by rainfall. With the increase of rainfall intensity, the reduction percentage of the standard speed of the underpass tunnel shows an increasing trend; however, it is less affected in light rain and moderate rain, and more affected in heavy rain and rainstorm. With the increase of rainfall intensity, the standard speed of the elevated road has no obvious change trend, and it is less affected by light rain and moderate rain, but more by rainstorm. In each time period, the standard speed reduction percentage of flat roads shows an obvious increasing trend with the increase of rainfall intensity.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Fang, Y.: China’s top 10 natural disasters in 2019. Life Disaster 252(5), 14–15 (2020) (in Chinese)
Liu, W., Tang, Y., Yang, F., et al.: Research on urban transport network topology vulnerability identification under rainfall conditions. Int. J. Embedded Syst. 13(3), 352–359 (2020)
Zhou, M., Qu, X., Li, X.: A recurrent neural network based microscopic car following model to predict traffic oscillation. Transp. Res. Part C Emerg. Technol. 84, 245–264 (2017)
Pregnolato, M., Ford, A., Wilkinson, S., et al.: The impact of flooding on road transport: a depth-disruption function. Transp. Res. Part D Transp. Environ. 55, 67–81 (2017)
Gong, D., Song, G., Li, M., et al.: Impact of rainfalls on travel speed on urban roads. J. Transp. Syst. Eng. Inf. Technol. 15(1), 218–225 (2015)
Qu, X., Wang, S., Zhang, J.: On the fundamental diagram for freeway traffic: a novel calibration approach for single-regime models. Transp. Res. Part B Methodol. 73, 91–102 (2015)
Qu, X., Zhang, J., Wang, S.: On the stochastic fundamental diagram for freeway traffic: model development, analytical properties, validation, and extensive applications. Transp. Res. Part B Methodol. 104, 256–271 (2017)
Su, B., Huang, H., Li, Y.: Integrated simulation method for waterlogging and traffic congestion under urban rainstorms. Nat. Hazards 81(1), 23–40 (2016)
Kermanshah, A., Derrible, S.: Robustness of road systems to extreme flooding: using elements of GIS, travel demand, and network science. Nat. Hazards 86(1), 151–164 (2016)
Essien, A., Petrounias, I., Sampaio, P., et al.: The impact of rainfall and temperature on peak and off-peak urban traffic. In: Hartmann, S., Ma, H., Hameurlain, A., Pernul, G., Wagner, R. (eds.) Database and Expert Systems Applications. DEXA 2018. LNCS, vol. 11030, pp. 399–407. Springer, Regensburg (2018)
Ji, X., Shao, C.: Modeling and analyzing free-flow speed of environment traffic flow in rainstorm based on geomagnetic detector data. Ekoloji 28(107), 4223–4230 (2019)
Zhang, N., Alipour, A.: Integrated framework for risk and resilience assessment of the road network under inland flooding. Transp. Res. Rec. 2673(12), 182–190 (2019)
Gao, K., Yang, Y., Sun, L., et al.: Revealing psychological inertia in mode shift behavior and its quantitative influences on commuting trips. Transp. Res. Part F Traffic Psychol. Behav. 71, 272–287 (2020)
Wu, J., Kulcsár, B.A., Ahn, S., et al.: Emergency vehicle lane pre-clearing: from microscopic cooperation to routing decision making. Transp. Res. Part B Methodol. 141, 223–239 (2020)
Acknowledgements
This work was supported by the National Natural Science Foundation of China (No. 51678535) and University Young Key Teacher Foundation by Henan Province (No. 2018GGJS004).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Lyu, S., Guo, W., Yan, Y. (2021). Impacts Analysis of Rainfall on Road Traffic Operation. In: Qu, X., Zhen, L., Howlett, R.J., Jain, L.C. (eds) Smart Transportation Systems 2021. Smart Innovation, Systems and Technologies, vol 231. Springer, Singapore. https://doi.org/10.1007/978-981-16-2324-0_11
Download citation
DOI: https://doi.org/10.1007/978-981-16-2324-0_11
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2323-3
Online ISBN: 978-981-16-2324-0
eBook Packages: EngineeringEngineering (R0)