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Estimation of Appropriate Acceleration Lane Length for Safe and Efficient Truck Platooning Operation on Freeway Merge Areas

Author

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  • Tanvir Uddin Chowdhury

    (Department of Civil Engineering, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada)

  • Peter Y. Park

    (Department of Civil Engineering, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada)

  • Kevin Gingerich

    (Department of Civil Engineering, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada)

Abstract

The length of an acceleration lane is one of the dominant freeway geometric design parameters. This length requires new analyses to anticipate the needs of heavy commercial vehicle (HCV) platooning. We evaluated the safety and operational impact of HCV platooning on acceleration lane length for a freeway ramp in Ontario, Canada. This study modified the 2018 AASHTO’s acceleration lane length estimation analytical model. Furthermore, this study used a VISSIM micro-simulation model and surrogated safety assessment model (SSAM) to examine the safety and operational impact on the real-world circumstances of HCV platooning at 0.6 s and 1.2 s headways and different market penetration rates of 0%, 5%, and 10%. The results suggest a minimum acceleration lane length of 600 m for platooned HCVs, which is inadequate compared to American and Canadian design guidelines. An extended acceleration lane length (600 m) will improve safety by reducing conflict by 19.2% and operational performance by reducing 3.9% of 85th percentile merging time for the operation of 5% HCV platooning with 0.6 s headway compared with 350 m acceleration lane length. This study suggests 5% of traffic containing two HCV platoons with 0.6 s headway may be reasonable for operation during certain hours of the day under existing conditions.

Suggested Citation

  • Tanvir Uddin Chowdhury & Peter Y. Park & Kevin Gingerich, 2022. "Estimation of Appropriate Acceleration Lane Length for Safe and Efficient Truck Platooning Operation on Freeway Merge Areas," Sustainability, MDPI, vol. 14(19), pages 1-25, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12946-:d:938201
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    References listed on IDEAS

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    1. Shladover, Steven & Lu, Xiao-Yun & Yang, Shiyan & Ramezani, Hani & Spring, John & Nowakowski, Christopher & Nelson, David, 2018. "Cooperative Adaptive Cruise Control (CACC) For Partially Automated Truck Platooning:Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt260060w4, Institute of Transportation Studies, UC Berkeley.
    2. Browand, Fred & McArthur, John & Radovich, Charles, 2004. "Fuel Saving Achieved in the Field Test of Two Tandem Trucks," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt29v570mm, Institute of Transportation Studies, UC Berkeley.
    3. Marsaglia, George & Tsang, Wai Wan & Wang, Jingbo, 2003. "Evaluating Kolmogorov's Distribution," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i18).
    4. Zabat, Michael & Stabile, Nick & Farascaroli, Stefano & Browand, Frederick, 1995. "The Aerodynamic Performance Of Platoons: A Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8ph187fw, Institute of Transportation Studies, UC Berkeley.
    5. Simard, Richard & L'Ecuyer, Pierre, 2011. "Computing the Two-Sided Kolmogorov-Smirnov Distribution," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 39(i11).
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