Multiobjective optimization framework for cooperative adaptive cruise control vehicles in the automated vehicle platooning environment

Document Type

Article

Publication Date

1-1-2017

Abstract

Automated longitudinal control technology has been tested through cooperative adaptive cruise control (CACC), which is envisioned to improve highway mobility drastically by forming a vehicle platoon with short headway while maintaining stable traffic flow under disturbances. Compared with previous research efforts with the pseudomulti-objective optimization process, this paper proposes an automated longitudinal control framework based on multiobjective optimization (MOOP) for CACC by taking into consideration four optimization objectives: mobility, safety, driver comfort, and fuel consumption. Of the target time headways that have been tested, the proposed CACC platoon control method achieved the best performance with 0.9- and 0.6-s target time headways. Compared with a non-optimization-based CACC, the MOOP CACC achieved 98%, 93%, 42%, and 33% objective value reductions of time headway deviation, unsafe condition, jitter, and instantaneous fuel consumption, respectively. In comparison with a single-objective-optimization-based approach, which optimized only one of the four proposed objectives, it was shown that the MOOP-based CACC maintained a good balance between all of the objective functions and achieved Pareto optimality for the entire platoon.

Identifier

85033712626 (Scopus)

ISBN

[9780309441551]

Publication Title

Transportation Research Record

External Full Text Location

https://doi.org/10.3141/2625-04

e-ISSN

21694052

ISSN

03611981

First Page

32

Last Page

42

Volume

2625

Fund Ref

Federal Highway Administration

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