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Energy-Centric Cooperative Onramp Merging Strategy: An Analytical Solution

Publication Type
Conference Paper
Book Title
2023 IEEE International Automated Vehicle Validation Conference (IAVVC)
Publication Date
Page Numbers
1 to 7
Publisher Location
New Jersey, United States of America
Conference Name
IEEE International Automated Vehicle Validation Conference 2023 (IAVVC)
Conference Location
Austin, TX, Texas, United States of America
Conference Sponsor
Conference Date

Cooperative highway onramp merging plays an important role in mitigating highway traffic congestion. A crucial component of a cooperative merging system is the merging sequence strategy, which determines each merging participant's order to reach the merging point. Existing merging sequence strategies can be classified into rule-based and optimization-based approaches. The rule-based strategies can be effortlessly implemented with a light online computational burden. However, they may not achieve the optimal energy efficiency. In contrast, the optimization-based strategies can yield the optimal merging sequence to minimize fuel consumption, but typically involve computationally expensive numerical optimization. To leverage the advantages from both sides, we propose a novel merging sequence strategy that can minimize fuel consumption while avoiding online numerical optimization. The key idea is to analytically formulate the expected fuel consumption of each merging participant. Using a realistic highway onramp scenario based on the NGSIM dataset, we validate the performance and the computational efficiency of the proposed merging sequence strategy via SUMO/SIMULINK joint simulation.