Evidence map›Paper›PMID 39275612›Full record

ArticleSensors (Basel, Switzerland)2024

A Cooperative Optimization Model for Variable Approach Lanes at Signaled Intersections Based on Real-Time Flow.

Zhiqiang Zhu, Mingyue Zhu, Miaomiao Liu, Pengrui Li, Renjing Tang, Xuechi Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhiqiang ZhuPlatform of Transport Technology Thinktank, Research Institute of Highway, Ministry of Transport, Beijing 100088, China.
Mingyue ZhuSchool of Transportation Science and Engineering, Beihang University, Beijing 100191, China.
Miaomiao LiuSchool of Transportation Science and Engineering, Beihang University, Beijing 100191, China.
Pengrui LiSchool of Transportation Science and Engineering, Beihang University, Beijing 100191, China.
Renjing TangSchool of Transportation Science and Engineering, Beihang University, Beijing 100191, China.
Xuechi ZhangPlatform of Transport Technology Thinktank, Research Institute of Highway, Ministry of Transport, Beijing 100088, China.

Funding

the Fundamental Research Funds for the Central Universities Beihangthe Platform of Transport Technology Thinktank (Research Institute of Highway, Ministry of Transport), Beijing, PRC Opening Funding
6 · The paper itself

Abstract

To resolve the congestion caused by imbalanced traffic at intersections, this paper establishes a model of the average delay deviation with the minimization of the average delay in the approach as the optimization objective. Then, the signal control scheme is further optimized based on the variable approach lanes setting. First, we investigate the threshold conditions for setting the VALs under different flows in a single approach direction. The results show that when the ratio of left-turn traffic exceeds the threshold range of 0.20~0.28, the function of the VALs needs to be changed from straight to left-turn. Then, based on the improved Webster's formula, an optimal timing method that aims at minimizing the average vehicle delay, minimizing the queue length, and maximizing the capacity, is proposed. Finally, taking the actual Huangke intersection in the Hefei demonstration area as an example, three schemes are compared and analyzed in the case of a VAL at the intersection. The results show that under the cooperative optimization scheme proposed in this paper, the travel time and the efficiency of the intersection could be reduced by 18.7% and 9.9%, respectively, when compared with the original and Webster's schemes.

Indexed as

average delay difference modelcooperative optimization modelsignal controlthreshold conditionsvariable approach lane

Identifiers

PMID39275612
PMCPMC11398133

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.