Load Effect of Automated Truck Platooning on Highway Bridges and Loading Strategy
Abstract
:1. Introduction
2. Literature Review
3. Vehicle Loads on Highway Bridges
3.1. Traffic Load Models of Chinese Bridge Design Codes
3.1.1. Bridge Design Code (1985)
3.1.2. Bridge Design Code (2004 and 2015)
3.2. Automated Truck Platooning Load
3.2.1. Typical Semi-Trailer Trucks
3.2.2. Platooning Truck Arrangement
4. Effects of ATP Load on Bridges
4.1. Assessment Method
4.2. Construction of Bridge Influence Lines
4.3. Assessment Framework
5. Results and Discussion
5.1. Vehicle Load Effects Calculated Based on the Chinese Bridge Design Specifications
5.2. ATP-Induced Load Effects on Simply Supported Bridges
5.2.1. Analysis of Unfavorable Span Range
5.2.2. Analysis of Inter-Truck Spacing Threshold
5.2.3. Suggestions on ATP Crossing Simply Supported Bridges
5.3. ATP-Induced Load Effects on Continuous Bridges
5.3.1. Analysis of Inter-Truck Spacing Thresholds
5.3.2. Suggestions on ATP Crossing Continuous Bridges
5.4. Suggested General Upper Mass Limits
6. Loading Strategy for ATP in Highway Cargo Transport
- Transportation route planning:
- Input the destination to the navigation system and find the possible routes;
- Determine the best route for platooning trucks from an economical perspective.
- Information collection and analysis:
- Obtain detailed bridge information (including the specific bridge type and the highway grade) for the selected route;
- Acquire the cargo volume from the supplier, determine the exact number of trucks required for transportation, and measure the time delay of the vehicular communication system to determine the stable inter-truck spacing that should be maintained.
- Transport decision-making:
- Decide the truck platooning size and the inter-truck spacing for ATP in cargo transport;
- Based on the collected information above and the findings of this study, determine the capacity utilization rate for each platooning truck.
7. Conclusions
- (1)
- Without a proper arrangement, the load effects due to the ATP loads may exceed those due to the design lane loads. The ATP-induced load effects increase with the increase in the truck platooning size and the reduction in the inter-truck spacing. To ensure the safety of the highway bridges, more caution needs to be paid to ATP arrangements, including selecting the truck type, controlling the inter-truck spacing, limiting the number of platooning trucks, and deciding the truck capacity utilization rate.
- (2)
- Based on the current Chinese legal limits of masses and dimensions for trucks, ATP is recommended to be first applied to Grade-I highway bridges. In this case, the five-axle trucks can be adopted with priority, and the suggested platoon form is three trucks operating with an inter-truck spacing larger than 20 m. For ATPs consisting of more trucks or spaced at shorter inter-truck spacings, additional upper mass limits should be enforced, especially when they are applied to Grade-II highway bridges.
- (3)
- A general cargo loading strategy for ATP transportation is proposed in this study. Based on the bridge information and the cargo transport demands (including the cargo volume, truck type, and the time delay of vehicular communication), the ATP transport can be well managed in a form that does not cause adverse impacts on existing highway bridges.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- National Bureau of Statistics of China. Statistical Communiqué of the People’s Republic of China on the 2020 National Economic and Social Development; National Bureau of Statistics of China: Beijing, China, 2021.
- International Energy Agency (IEA). CO2 Emisions from Fuel Combustion: Highlights; IEA: Paris, France, 2019. [Google Scholar]
- Janssen, R.; Zwijnenberg, H.; Blankers, I.; de Kruijff, J. Truck Platooning Driving the Future of Transportation; The Neighbourhood Organization (TNO): Delft, The Netherlands, 2015. [Google Scholar]
- Liang, K.Y.; Mårtensson, J.; Johansson, K.H. Heavy-duty vehicle platoon formation for fuel efficiency. IEEE Trans. Intell. Transp. Syst. 2016, 17, 1051–1061. [Google Scholar] [CrossRef]
- Neufville, R.; Abdalla, H.; Abbas, A. Potential of connected fully autonomous vehicles in reducing congestion and associated carbon emissions. Sustainability 2022, 14, 6910. [Google Scholar] [CrossRef]
- Lee, Y.; Ahn, T.; Lee, C.; Kim, S.; Park, K. A novel path planning algorithm for truck platooning using V2V communication. Sensors 2020, 20, 7022. [Google Scholar] [CrossRef] [PubMed]
- Mikami, M.; Yoshino, H. Field trial on 5G low latency radio communication system towards application to truck platooning. IEICE Trans. Commun. 2019, E102B, 1447–1457. [Google Scholar] [CrossRef]
- Noruzoliaee, M.; Zou, B.; Zhou, Y.J. Truck platooning in the U.S. national road network: A system-level modeling approach. Transp. Res. Part E Logist. Transp. Rev. 2021, 145, 102200. [Google Scholar] [CrossRef]
- Muratori, M.; Holden, J.; Lammert, M.; Duran, A.; Young, S.; Gonder, J. Potentials for platooning in US highway freight transport. SAE Int. J. Commer. Veh. 2017, 10, 45–49. [Google Scholar] [CrossRef] [Green Version]
- Tsugawa, S. Results and issues of an automated truck platoon within the energy ITS project. In Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, Dearborn, MI, USA, 8–11 June 2014; IEEE: Piscataway, NJ, USA, 2014; pp. 642–647. [Google Scholar]
- Nowak, A.S.; Nassif, H.; DeFrain, L. Effect of truck loads on bridges. J. Transp. Eng. 1993, 119, 853–867. [Google Scholar] [CrossRef]
- Fu, G.; You, J. Truck loads and bridge capacity evaluation in China. J. Bridg. Eng. 2009, 14, 327–335. [Google Scholar] [CrossRef]
- Iatsko, O.; Nowak, A.S. Revisited live load for simple-span bridges. J. Bridg. Eng. 2021, 26, 4020114. [Google Scholar] [CrossRef]
- Wang, P.; Di, B.; Zhang, H.; Bian, K.; Song, L. Platoon cooperation in cellular V2X networks for 5G and beyond. IEEE Trans. Wirel. Commun. 2019, 18, 3919–3932. [Google Scholar] [CrossRef]
- Huch, S.; Ongel, A.; Betz, J.; Lienkamp, M. Multi-task end-to-end self-driving architecture for CAV platoons. Sensors 2021, 21, 1039. [Google Scholar] [CrossRef] [PubMed]
- Yang, B.; Steelman, J.S.; Puckett, J.A.; Linzell, D.G. Safe platooning headways on girder bridges. Transp. Res. Rec. J. Transp. Res. Board 2021, 036119812110363. [Google Scholar] [CrossRef]
- Hartmann, J.; Federal Highway Administration (FHWA). Truck platoons and highway bridges. In ASPIRE The Concrete Bridge Magazine; 2019; Summer; pp. 44–45. Available online: https://www.aspirebridge.com/magazine/2019Summer/FHWA-TruckPlatoonsAndHighwayBridges.pdf (accessed on 10 August 2022).
- Othman, K. Impact of autonomous vehicles on the physical infrastructure: Changes and challenges. Designs 2021, 5, 40. [Google Scholar] [CrossRef]
- Roberts, J.; Mihelic, R.; Roeth, M. Truck Efficiency Confidence Report: Two-truck Platooning; North American Council for Freight Efficiency (NACFE): Washington, DC, USA, 2016. [Google Scholar]
- Kamranian, Z. Load Evaluation of the Hay River Bridge under Different Platoons of Connected Trucks; University of Calgary: Calgary, AB, Canada, 2018. [Google Scholar]
- Yarnold, M.T.; Weidner, J.S. Truck Platoon Impacts on Steel Girder Bridges. J. Bridg. Eng. 2019, 24, 06019003. [Google Scholar] [CrossRef]
- Tohme, R.; Yarnold, M. Steel bridge load rating impacts owing to autonomous truck platoons. Transp. Res. Rec. 2020, 2674, 57–67. [Google Scholar] [CrossRef]
- Birgisson, B.; Morgan, C.; Yarnold, M.; Warner, J.; Glover, B.; Steadman, M.; Srinivasa, S.; Cai, S.; Lee, D. Evaluate Potential Impacts, Benefits, Impediments, and Solutions of Automated Trucks and Truck Platooning on Texas Highway Infrastructure: Technical Report; Texas A&M Transportation Institute: Austin, TX, USA, 2020. [Google Scholar]
- AASHTO. LRFD Bridge Design Specifications, Customary U.S. Units; American Association of State Highway and Transportation Officials: Washington, DC, USA, 2017. [Google Scholar]
- Sayed, S.M.; Sunna, H.N.; Moore, P.R. Truck platooning impact on bridge preservation. J. Perform. Constr. Facil. 2020, 34, 04020029. [Google Scholar] [CrossRef]
- Couto Braguim, T.; Lou, P.; Nassif, H. Truck platooning to minimize load-induced fatigue in steel girder bridges. Transp. Res. Rec. J. Transp. Res. Board 2020, 036119812097365. [Google Scholar] [CrossRef]
- Federal Highway Administration (FHWA). Bridge Formula Weights; FHWA: Washington, DC, USA, 2019.
- Babu, A.R.; Iatsko, O.; Nowak, A.S. Comparison of bridge live loads in US and Europe. Struct. Eng. Int. 2019, 29, 84–93. [Google Scholar] [CrossRef]
- Ling, T.; Cao, R.; Deng, L.; He, W.; Wu, X.; Zhong, W. Dynamic impact of automated truck platooning on highway bridges. Eng. Struct. 2022, 262, 114326. [Google Scholar] [CrossRef]
- Gao, S.; Lim, A.; Bevly, D. An empirical study of DSRC V2V performance in truck platooning scenarios. Digit. Commun. Netw. 2016, 2, 233–244. [Google Scholar] [CrossRef]
- Chandra, S.; Thai, T. Analyzing freight truck platoon accessibility with route deviations. Sustainability 2022, 14, 2130. [Google Scholar] [CrossRef]
- JTG D60—2015; General Specifications for Design of Highway Bridges and Culverts. China Communications Press: Beijing, China, 2015.
- Taylor, A.H.; Droege, M.J.; Shaver, G.M.; Sandoval, J.A.; Erlien, S.; Kuszmaul, J. Capturing the impact of speed, grade, and traffic on class 8 truck platooning. IEEE Trans. Veh. Technol. 2020, 69, 10506–10518. [Google Scholar] [CrossRef]
- GB/T 1.1—2009; Limits of Dimensions, Axle Load and Masses for Motor Vehicles, Trailers and Combination Vehicles. Standards Press of China: Beijing, China, 2016.
- He, W.; Ling, T.; Obrien, E.J.; Deng, L. Virtual axle method for bridge weigh-in-motion systems requiring no axle detector. J. Bridg. Eng. 2019, 24, 4019086. [Google Scholar] [CrossRef]
- Deng, L.; Ling, T.; He, W.; Kong, X. Refined tire model for analysis of highway vehicle-bridge system vibration. China J. Highw. Transp. 2022, 35, 108–116. [Google Scholar]
- Shao, X. Bridge Engineering, 4th ed.; China Communications Press: Beijing, China, 2016. [Google Scholar]
- Chao, H. Study on Highway Bridge Vehicle Loads of Heavy Load Traffic; Hebei University of Technology: Tianjin, China, 2014. [Google Scholar]
- Yan, B.; Li, S. Study of vehicle load between China and America in bridge design specification. J. Hebei Univ. Eng. (Nat. Sci. Ed.) 2016, 33, 53–56. [Google Scholar]
- Liu, L.; Wang, J.; Ye, Z. Study of live load amplification factor for approach bridge of Qingshan Changjiang River Highway Bridge in Wuhan. World Bridg. 2021, 49, 66–71. [Google Scholar]
- Konstantinopoulou, L.; Coda, A.; Schmidt, F. Specifications for multi-brand truck platooning. In Proceedings of the ICWIM 8-8th International Conference on Weigh-In-Motion, Prague, Czech Republic, 19–23 May 2019; Jacob, B., Schmidt, F., Eds.; International Conference on Weigh-In-Motion: Dübendorf, Switzerland, 2019. [Google Scholar]
- Pennsylvania Department of Transportation. Vehicle Platooning Policy; Pennsylvania Department of Transportation: Harrisburg, PA, USA, 2019.
Objective | Parameter | Range |
---|---|---|
Truck | Truck type | ① Design truck (≤55.0 t) ② 5-axle truck (≤42.5 t) ③ 5-axle truck (≤43.0 t) ④ 6-axle truck (≤49.0 t) |
Reduction in critical wheelbase | 0–2 m | |
Truck capacity utilization rate | 60–100% | |
Number of platooning trucks | 1–8 | |
Inter-truck spacing | 0–40 m | |
Standard inter-truck spacing | 20 m | |
Extremum inter-truck spacing | 4 m | |
Simply supported bridge | Span length | 0–40 m |
Controlling internal force | Bending moment at the mid-span Shear force at the side support | |
Continuous bridge | Main span length | 40–200 m |
Side-to-main span ratio | 0.5–1.0 [37] | |
Controlling internal force | Bending moment at the middle section of the side span Bending moment at the middle section of the main span Shear force at the interior support Negative bending moment at the interior support |
Highway Bridges | Truck Type | Target | Suggestions | |
---|---|---|---|---|
Avoid Unfavorable Span Ranges | Accommodate Standard Inter-Truck Spacing Level (20 m) | |||
Grade-I | ① | 100% (55.0 t) | 100% (55.0 t) | keep inter-truck spacing ≥ 13 m without additional mass limits |
② | 100% (42.5 t) | 100% (42.5 t) | ||
③ | 100% (43.0 t) | 100% (43.0 t) | ||
④ | 100% (49.0 t) | 100% (49.0 t) | ||
Grade-II | ① | 80% (44.0 t) | 80% (44.0 t) | keep inter-truck spacing ≥ 20 m keep the mass of six-axle truck ≤ 44 t |
② | 100% (42.5 t) | 100% (42.5 t) | ||
③ | 100% (43.0 t) | 100% (43.0 t) | ||
④ | 95% (46.5 t) | 90% (44.0 t) |
Truck Platooning Size | Truck Type | Grade-I Highway Bridge | Grade-II Highway Bridge | ||
---|---|---|---|---|---|
Inter-Truck Spacing = 20 m | Inter-Truck Spacing = 4 m | Inter-Truck Spacing = 20 m | Inter-Truck Spacing = 4 m | ||
2 | ① | 49.5 | 41.3 | 35.8 | 33.0 |
② | 42.5 * | 42.5 | 38.3 | 31.8 | |
③ | 43.0 * | 43.0 | 38.7 | 32.2 | |
④ | 49.0 * | 41.6 | 36.8 | 31.8 | |
3 | ① | 44.0 | 33.0 | 33.0 | 22.0 |
② | 42.5 * | 34.0 | 34.0 | 25.5 | |
③ | 43.0 * | 34.4 | 34.4 | 25.8 | |
④ | 44.1 | 34.0 | 31.9 | 22.1 | |
4 | ① | 41.3 | 27.5 | 30.2 | 22.0 |
② | 42.5 * | 25.5 | 31.9 | 19.6 | |
③ | 43.0 * | 25.8 | 32.2 | 19.3 | |
④ | 41.7 | 24.5 | 31.9 | 19.1 | |
5 | ① | 38.5 | 24.7 | 30.2 | 19.2 |
② | 40.4 | 21.2 | 29.7 | 17.0 | |
③ | 40.9 | 21.5 | 30.1 | 17.2 | |
④ | 39.2 | 21.0 | 29.4 | 17.0 | |
6 | ① | 38.5 | 22.0 | 30.2 | 19.2 |
② | 40.4 | 23.4 | 29.7 | 17.3 | |
③ | 38.7 | 23.6 | 30.1 | 17.2 | |
④ | 39.2 | 22.1 | 29.4 | 17.1 | |
7 | ① | 38.5 | 19.2 | 27.5 | 13.7 |
② | 38.2 | 21.2 | 27.6 | 17.0 | |
③ | 36.8 | 21.5 | 27.9 | 17.2 | |
④ | 36.7 | 19.6 | 26.9 | 14.7 | |
8 | ① | 35.7 | 19.2 | 27.5 | 13.7 |
② | 36.1 | 19.1 | 25.5 | 17.0 | |
③ | 36.5 | 19.3 | 25.8 | 17.2 | |
④ | 36.1 | 19.0 | 25.0 | 14.7 |
Highway Bridge | Following Gap 1 | Truck Platooning Size | ||||||
---|---|---|---|---|---|---|---|---|
2-Truck | 3-Truck | 4-Truck | 5-Truck | 6-Truck | 7-Truck | 8-Truck | ||
Grade-I | 0 | 25.0 | 25.0 | 24.0 | 21.0 | 22.0 | 19.0 | 19.0 |
5 m | 36.0 | 35.0 | 34.0 | 29.0 | 29.0 | 25.0 | 24.0 | |
10 m | 42.5 * | 39.0 | 36.0 | 34.0 | 34.0 | 31.0 | 31.0 | |
15 m | 42.5 * | 42.5 * | 41.0 | 39.5 | 38.0 | 36.5 | 35.0 | |
20 m | 42.5 * | 42.5 * | 42.5 * | 42.5 * | 42.5 * | 40.0 | 40.0 | |
25 m | 42.5 * | 42.5 * | 42.5 * | 42.5 * | 42.5 * | 42.5 * | 42.5 * | |
Grade-II | 0 | 17.0 | 17.0 | 17.0 | 17.0 | 17.0 | 14.0 | 14.0 |
5 m | 25.5 | 25.5 | 24.0 | 22.5 | 21.0 | 19.5 | 19.0 | |
10 m | 31.0 | 29.0 | 26.0 | 25.0 | 25.0 | 24.0 | 22.0 | |
15 m | 34.0 | 32.5 | 31.0 | 29.5 | 28.0 | 26.5 | 25.0 | |
20 m | 34.0 | 34.0 | 34.0 | 31.0 | 31.0 | 29.0 | 29.0 | |
25 m | 34.0 | 34.0 | 34.0 | 34.0 | 34.0 | 34.0 | 31.0 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Ling, T.; Deng, L.; He, W.; Wu, H.; Deng, J. Load Effect of Automated Truck Platooning on Highway Bridges and Loading Strategy. Sensors 2022, 22, 7704. https://doi.org/10.3390/s22207704
Ling T, Deng L, He W, Wu H, Deng J. Load Effect of Automated Truck Platooning on Highway Bridges and Loading Strategy. Sensors. 2022; 22(20):7704. https://doi.org/10.3390/s22207704
Chicago/Turabian StyleLing, Tianyang, Lu Deng, Wei He, Haibing Wu, and Jiayu Deng. 2022. "Load Effect of Automated Truck Platooning on Highway Bridges and Loading Strategy" Sensors 22, no. 20: 7704. https://doi.org/10.3390/s22207704
APA StyleLing, T., Deng, L., He, W., Wu, H., & Deng, J. (2022). Load Effect of Automated Truck Platooning on Highway Bridges and Loading Strategy. Sensors, 22(20), 7704. https://doi.org/10.3390/s22207704