Stability Analysis and Speed-Coordinated Control of Mixed Traffic Flow in Expressway Merging Area

Hao, Wei; Rong, Donglei; Zhang, Zhaolei; Byon, Young-Ji; Lv, Nengchao; Chen, Ying

doi:10.1061/jtepbs.0000755

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…These models offer valuable approaches for reducing congestion and emissions by predicting speed variations, capacity, and driver's behavior [19]- [22]. Furthermore, researchers also work on devising innovative traffic strategies, including coordinated control of speed and lanes as well as presenting new path designs [23]- [25]. While integrating road pricing with other strategies helps alleviate traffic pressure at interchanges to some extent, these approaches may inevitably have negative effects on drivers and passengers [26], [27].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Sustainable Design Method for Three-Lane Entrance Ramps on Expressways in Urban Areas: A Case Study of Xi’an, China

Liu,

Pan,

Song

et al. 2023

IEEE Access

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Owing to the challenges faced by two-lane entrance ramps in merging areas on expressways in handling the growing traffic volume, designers are considering implementing three-lane entrance ramps. This approach alleviates capacity bottlenecks and facilitates efficient, safe, and green operations. However, according to the traditional design strategy, the long auxiliary lanes will bring large land occupation and construction consumption, creating obstacles to the reconstruction. To address this issue, this study proposes two new strategies and discusses the applicability of each scheme. A VISSIM microsimulation model was developed and calibrated using the collected data, and five evaluation indicators assessing environmental protection, capacity, traffic efficiency, safety, and construction consumption were selected. This study also presents a comprehensive evaluation(CE) method that combines the CRITIC (Criteria Importance Through Intercriteria Correlation) method and TOPSIS(Technique for Order Preference by Similarity to an Ideal Solution), which considers the association between indicators and offers a more rational evaluation, aiming to recommend optimal designs for various traffic cases. The results indicate that two-lane ramps are still the preferred choice for lower traffic volumes and merging ratios, whereas three-lane ramps demonstrate excellent potential for application under heavy traffic conditions. The CE reveals substantial improvements in optimal designs, with capacity, delay, CO emissions, and conflicts showing maximum enhancements of approximately 20%, 45%, 5%, and 55%, respectively.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Sustainable Design Method for Three-Lane Entrance Ramps on Expressways in Urban Areas: A Case Study of Xi’an, China

Liu,

Pan,

Song

et al. 2023

IEEE Access

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Improved Speed Control Strategy for Mixed Traffic Flow Considering Roadside Unit

Hao,

Rong,

Zhang

et al. 2023

J. Transp. Eng., Part A: Systems

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Study of the interval width of features for improving forecasting efficiency of the transport flow intensity

Pugachev,

Sheshera,

Grigorov

2024

Vestn. SibADI

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Introduction. The complicated system of characteristic interaction between the Driver-Car-Road-Environment (DCRE) is the research subject for the scientists around the world. If we explain the patterns of phenomena present during road accidents, we will be able to model some transport processes. To do this, we need to consider a large number of characteristics, dividing them into static and dynamic. Particular attention is paid to the latter, due to the instability of the features. This category includes traffic flow intensity and weather conditions. There are a lot of methods for increasing the accuracy of predictive models, but this method has been used for the first time. Logicaland statistical validity of the selection automation of interval rages are the main feature of this method. This is necessary not only for grouping features, but also for increasing their value in a joint analysis. For example, for the intensity of traffic flows the index number can be 100 vehicles/hour (0-100, 101-200, 201-300, etc.), but it will not be effective from a prognostic point of view for the temperature interval index of 5°C (-25 - -20, -19 -15, -14 - 10,etc.). Accordingly, the goal of the work was to determine the effective forecasting of the interval’s width of traffic flow intensity (dependent feature) and weather conditions (independent features). Materials and methods. This work is a continuation of a large project on improving road traffic safety, in which similar studies have already been conducted to determine the effective interval coefficients using Spearman’s rank correlation. The values at which temperature regimes (air, soil and dew point) best describe the intensity of the traffic flow were established. For a comprehensive characterization, additional analysis was necessary to conduct of the remaining independent features. New algorithmic structures were created using the Python programming language, in which the established feature interval ranges were sequentially compared in such a way as to process all possible combinations. Each result was subjected to correlation analysis, and the probability of error was calculated. Results. As a result of the experimental selection of interval ranges, the most effective of them were determined. The selection criterion was the subsequent correlation analysis. The coefficient values greater than 0.7 or less than -0.7 were accepted. The probability of error was also calculated, and values less than 0.05 were accepted. Thus, a large number of combinations were obtained that meet the necessary conditions. Further, for each feature, the interval width was selected at which it is more often intersected with others, and in the case of the same number of intersections, it is the smallest of them. Conclusion. As a result, effective interval widths were determined in which the investigated features had been analyzed. This study in subsequent works contributed to the high-quality training of the model using the deep learning method. Thanks to this research, a program to predict the intensity of the traffic flow, depending on weather conditions with using neural networks was created.

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Stability Analysis and Speed-Coordinated Control of Mixed Traffic Flow in Expressway Merging Area

Cited by 3 publications

References 9 publications

Evaluation of Sustainable Design Method for Three-Lane Entrance Ramps on Expressways in Urban Areas: A Case Study of Xi’an, China

Evaluation of Sustainable Design Method for Three-Lane Entrance Ramps on Expressways in Urban Areas: A Case Study of Xi’an, China

Improved Speed Control Strategy for Mixed Traffic Flow Considering Roadside Unit

Study of the interval width of features for improving forecasting efficiency of the transport flow intensity

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