Development of Integrated Traffic Control of Dynamic Merge and Lane Change at Freeway Work Zones in a Connected and Automated Vehicle Environment

Kim, Yongju; Ka, Dongju; Kim, Sun-Ho; Lee, Chungwon

doi:10.12815/kits.2020.19.3.38

Cited by 2 publications

(4 citation statements)

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“…This study designed scenarios including three control cases, two types of CVs, two study sites, and various demand levels. A non‐feedback strategy [14] was also employed to investigate the effect of using a PID controller on resolving disturbances occurring in inner lanes, which has been indicated as a limitation of LCC. The control cases are as follows: No control: Base case without any control strategy Non‐feedback LCC: Case with lane‐changing control using naïve calculation PID feedback LCC: Case with lane‐changing control using PID feedback control. …”

Section: Simulation Setupmentioning

confidence: 99%

“…LCC strategies can be grouped into macroscopic and microscopic approaches. Macroscopic methods determine the number of lane‐changing vehicles at a given time so as to improve traffic operational efficiency [5‐8, 14]. Roncoli et al.…”

Section: Introductionmentioning

confidence: 99%

“…Kim et al. [14] developed a new LCC strategy to determine the optimal number of lane‐changing vehicles at a merge bottleneck and induced CVs to change lanes with consideration of the real‐time on‐ramp flow. This strategy was inspired by the fact that on a freeway, the flow of each lane is not balanced; namely, the outermost lane has a lower flow than the inner lanes and is relatively under‐utilized in high‐volume traffic [15, 16].…”

Section: Introductionmentioning

confidence: 99%

“…When a particular lane is under‐utilized, congestion can easily occur and queues form in the over‐utilized lane [1]. A previously reported strategy for inducing lane changing to promote balanced lane flow successfully reduced flow imbalance and alleviated capacity drop [14]; however, its effectiveness would be limited for high‐volume traffic. This is because its simple non‐feedback control strategy continuously induces lane changing without consideration of whether indiscriminate lane changing may cause additional disturbance in the target lane.…”

Section: Introductionmentioning

confidence: 99%

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Lane‐changing control with balancing lane flow at freeway merge bottlenecks in a connected vehicle environment: Application of a PID controller

Kim

Lee

2023

IET Intelligent Trans Sys

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A merging section on a freeway is a typical bottleneck where congestion easily occurs due to interference caused by vehicles entering the mainline from the ramp. To achieve higher speeds and/or yield to merging vehicles, drivers on the mainline often change lanes while continuously examining the circumstances ahead that are within their sight. This individual lane‐changing behaviour is somewhat myopic and could cause an imbalance in lane use, resulting in earlier onset of congestion and a more severe capacity drop than with balanced lane use. This study proposes a feedback‐based lane‐changing control strategy that balances lane flow at merge bottlenecks to mitigate capacity drop under a connected vehicle environment. The proposed Proportional‐Integral‐Derivative feedback controller examines the traffic state of the inner lanes and systematically governs the number of lane‐changing vehicles to prevent possible excessive disturbance. The proposed strategy is evaluated using microscopic simulation. For the hypothetical network, the strategy reduces the imbalance in lane flows and improves discharge flow rate as well as travel time. For the real‐world network, the strategy can also effectively relieve congestion in a possible scenario of connected automated vehicle adoption. These results indicate that the proposed strategy can improve flow efficiency for high‐volume traffic.

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