The study about capacity drops of CAVs system under a heuristic rules-based algorithm at minor-level merging on multi-lane highways

Merging bottleneck, as a typical urban traffic scenario, has gained a growing attention. According to our previous research about the merging of CAVs system on two-lane highways, a heuristic rules-based algorithm using virtual vehicle is applied and the outflow rate finally remains the maximum capacity. As a continuation, this paper further investigates the traffic evolution on multi-lane highways. Taken three-lane highways as a typical scenario, vehicles will experience major-level merging (main lane) and the minor-level merging (two branch lanes). Different with two-lane highways, capacity drop occurs during minor-level merging and acts as a redistribution of flow rate when merging to main lane. When inflow on main lane increases, the outflow after minor-level merging is dynamically balanced to remain the total outflow rate equal to the maximum capacity. In simulation, some traffic performances are employed to investigate the performance indicators of traffic system, such as travel delay, fuel consumption and monetary cost. The results demonstrate that capacity drop during minor-level merging comes from the allocation of road rights in proposed control algorithm, which improves the traffic performance of CAVs on main lane by sacrificing the driving of CAVs on two branch lanes.

Authors

Publication Details

Journal
International Journal of Modern Physics C
Published
2026-05-22
DOI
https://doi.org/10.1142/s0129183127501026
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00
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article

The study about capacity drops of CAVs system under a heuristic rules-based algorithm at minor-level merging on multi-lane highways

葛红霞, Huaqing Liu, Xiaohu Li, Zihao Wang
International Journal of Modern Physics C
Traffic control and management
article

The study about capacity drops of CAVs system under a heuristic rules-based algorithm at minor-level merging on multi-lane highways

葛红霞, Huaqing Liu, Xiaohu Li, Zihao Wang
article en

Abstract

Merging bottleneck, as a typical urban traffic scenario, has gained a growing attention. According to our previous research about the merging of CAVs system on two-lane highways, a heuristic rules-based algorithm using virtual vehicle is applied and the outflow rate finally remains the maximum capacity. As a continuation, this paper further investigates the traffic evolution on multi-lane highways. Taken three-lane highways as a typical scenario, vehicles will experience major-level merging (main lane) and the minor-level merging (two branch lanes). Different with two-lane highways, capacity drop occurs during minor-level merging and acts as a redistribution of flow rate when merging to main lane. When inflow on main lane increases, the outflow after minor-level merging is dynamically balanced to remain the total outflow rate equal to the maximum capacity. In simulation, some traffic performances are employed to investigate the performance indicators of traffic system, such as travel delay, fuel consumption and monetary cost. The results demonstrate that capacity drop during minor-level merging comes from the allocation of road rights in proposed control algorithm, which improves the traffic performance of CAVs on main lane by sacrificing the driving of CAVs on two branch lanes.

International Journal of Modern Physics C
Sustainable cities and communities
Openalex Percentile: Top 5%
Traffic control and management
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