Safe and Ecological Speed Control for Heavy-Duty Vehicles on Long–Steep Downhill and Sharp-Curved Roads

Abstract

To contribute to the development of sustainable transport that is safe, eco-friendly, and efficient, this research proposed a safe and ecological speed control system for heavy-duty vehicles on long–steep downhill and sharp-curved roads under a partially connected vehicles environment consisting of connected heavy-duty vehicles (CHDVs) and conventional human-driven vehicles. This system prioritizes braking and lateral motion safety before improving fuel efficiency and ensuring traffic mobility at optimal status, and optimizes the speed trajectories of CHDVs to control the entire traffic. Speed optimization is modelled as an optimal control problem and solved by the iterative Pontryagin’s maximum principle algorithm. The simulation-based evaluation shows that the proposed system effectively reduces the peak temperature of the brake drums, the lateral slip angle of the vehicle wheels, and the lateral load transfer rate of the vehicle body; all these measurements of effectiveness are limited to safe ranges. A detailed investigation reveals that the proposed system reduces fuel consumption by up to 15.49% and inhibits the adverse effects on throughput. All benefits increase with the market penetration rate (MPR) of CHDVs and the traffic congestion level and reach significant levels under low MPRs of CHDVs. This indicates that the proposed system has good robustness for the impedance from conventional vehicles and could be implemented in the near future.

Document type: Article

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The different versions of the original document can be found in:

• https://www.mdpi.com/2071-1050/12/17/6813/pdf under the license https://creativecommons.org/licenses/by

• https://www.mdpi.com/2071-1050/12/17/6813,

https://doaj.org/toc/2071-1050 under the license cc-by

• https://www.mdpi.com/2071-1050/12/17/6813,

https://www.mdpi.com/2071-1050/12/17/6813/pdf,

https://ideas.repec.org/a/gam/jsusta/v12y2020i17p6813-d402495.html,

https://academic.microsoft.com/#/detail/3080224513

• https://www.mdpi.com/2071-1050/12/17/6813/pdf,

http://dx.doi.org/10.3390/su12176813

under the license https://creativecommons.org/licenses/by/4.0/