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Calculation Method of Deceleration Lane Length and Slope Based on Reliability Theory

Author

Listed:
  • Xin Tian

    (Highway Academy, Chang’an University, Xi’an 710064, China)

  • Mengmeng Shi

    (Highway Academy, Chang’an University, Xi’an 710064, China)

  • Mengyu Shao

    (Highway Academy, Chang’an University, Xi’an 710064, China)

  • Binghong Pan

    (Highway Academy, Chang’an University, Xi’an 710064, China)

Abstract

The deceleration lane is an important part of the freeway, and the rationality of its design parameters affects the exit accident rate. The traditional calculation method is based on the design of speed and vehicle parameters using deterministic methods, ignoring the randomness of the driver’s deceleration behavior. It is necessary to calculate the length and slope of the deceleration lane in detail according to the deceleration characteristics of the driver in the deceleration section by using the uncertainty method. This paper describes a study on the maximum longitudinal slope of the downhill section of the deceleration lane, where the safety of diverging vehicles is unfavorable. By collecting deceleration lane data from interchanges around Xi’an (Shaanxi Province, China, Coordinates: 108.95, 34.27) and analyzing the deceleration characteristics of vehicles, we propose a new deceleration model. In addition, the limit-state functions of the length and slope of the deceleration lane have been established based on the reliability theory. Finally, according to the deceleration characteristics, we determined the probability distribution of key parameters in the vehicle deceleration process. We used the Monte Carlo Simulation (MCS) and the Improved First-Order Second Moments (IFOSM) calculation model to calculate the length and slope of the deceleration lane, respectively. Finally, we propose the recommended values for the length and slope of the deceleration lane. The results of the study showed that: (1) The movement process of the vehicle on the deceleration section adopts a uniform deceleration, and the truck and the car start to decelerate from the starting of the taper section and diverging point, respectively. (2) The control vehicle in the deceleration lane calculation model is the compact car. (3) The reliability theory has good applicability in calculating freeway alignment indexes. It fully considers the probability of driver deceleration behavior in the calculation model, which provides a more suitable method for the calculation of deceleration lane indexes.

Suggested Citation

  • Xin Tian & Mengmeng Shi & Mengyu Shao & Binghong Pan, 2023. "Calculation Method of Deceleration Lane Length and Slope Based on Reliability Theory," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13081-:d:1229060
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    References listed on IDEAS

    as
    1. Rong-xia Xia & De-hua Wu & Jie He & Ya Liu & Deng-feng Shi, 2016. "A New Model of Stopping Sight Distance of Curve Braking Based on Vehicle Dynamics," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-8, October.
    2. Hyeonseo Kim & Kyeongjoo Kwon & Nuri Park & Juneyoung Park & Mohamed Abdel-Aty, 2021. "Crash- and Simulation-Based Safety Performance Evaluation of Freeway Rest Area," Sustainability, MDPI, vol. 13(9), pages 1-13, April.
    3. Federico Orsini & Mariaelena Tagliabue & Giulia De Cet & Massimiliano Gastaldi & Riccardo Rossi, 2021. "Highway Deceleration Lane Safety: Effects of Real-Time Coaching Programs on Driving Behavior," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    4. Ronghua Wang & Jiangbi Hu & Xiaoqin Zhang, 2016. "Analysis of the Driver’s Behavior Characteristics in Low Volume Freeway Interchange," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-9, April.
    5. Cihe Chen & Zijian Lin & Shuguang Zhang & Feng Chen & Peiyan Chen & Lin Zhang, 2021. "The Compatibility between the Takeover Process in Conditional Automated Driving and the Current Geometric Design of the Deceleration Lane in Highway," Sustainability, MDPI, vol. 13(23), pages 1-17, December.
    6. Kayvan Aghabayk & Majid Sarvi & William Young, 2015. "A State-of-the-Art Review of Car-Following Models with Particular Considerations of Heavy Vehicles," Transport Reviews, Taylor & Francis Journals, vol. 35(1), pages 82-105, January.
    7. Junhyung Lee, 2022. "Acceleration and Deceleration Rates in Interrupted Flow Based on Empirical Digital Tachograph Data," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
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