Research on the influence of bus bay on traffic flow in adjacent lane: Simulations in the framework of Kerner’s three-phase traffic theory

Public transport services, particularly bus services, play an important role in a sustainable transportation system. However, despite various efforts, bus ridership has decreased. The appearance of shared and on-demand vehicle services is one of the main reasons for this issue. In addition, bus tourism services have been successfully developed to meet the exigent needs of tourists. Therefore, a new level of daily bus service is necessary to adapt to the changing demands of customers. Bus interaction (BI) plays an important role in bus services. Nevertheless, the conventional concept of BI mainly refers to users, physical interaction, and safety, but it does not address non-users, non-physical interactions, service quality, and other aspects. This study aims to elaborate on a new concept of bus services. Based on this, we developed a theoretical framework for BI. A meta-analysis was then conducted to identify the achievements and untouched aspects. The results of this study provide three main contributions. First, an unprecedented novel concept of BI is defined, including 13 types of interactions. Second, a comprehensive theoretical framework of BI is established based on the relationships between eight sustainable bus system sub-aspects and 13 BI types. Third, based on the theoretical framework and findings of the reviewed studies, a common finding comprehensive framework of BI is completed, which is accompanied by 1) key findings of the 13 BI types, 2) conclusions of traffic conditions affecting BI research, 3) BI research gaps, and 4) 16 main suggestions for future BI research.

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“…Safety in an adjacent lane can be negatively affected by buses entering & leaving bus bay [60] China, 2021…”

Section: Discussionmentioning

confidence: 99%

Shaping a New Level of Bus Service under a Novel Concept of Bus Interaction: A Meta-Review

Van-Huy¹,

Kikuchi²,

Hisashi³

2023

JTTs

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“…Considering the probability of lane blockage caused by bus overflow, Luo et al proposed a model to estimate the capacity of the bus bay and the adjacent lane [21]. Hu et al studied the influence of the bus bay with a CA model, based on Kerner's threephase traffic theory, and found that both traffic efficiency and safety are negatively impacted by buses entering and exiting the bus bay [10]. While the influence of the bus bay on the right lane has been analyzed and quantified, these studies all make the assumption that buses would only approach the bus bay on the right lane, and that the influence of the bus bay on the other motor lanes (if any) is not significant.…”

Section: B the Impact Of Bus Bays On Traffic Flowmentioning

confidence: 99%

“…Among various types of CA models, the well-known Kerner-Klenov-Schreckenberg-Wolf (KKSW) CA model could capture the tendency of speed synchronization of human drivers and accurately simulate the phase transitions of traffic flow, based on the three-phase traffic theory proposed by Kerner and the calibration using a great number of traffic data on German highways. To study the influence of bus bays, Hu et al proposed the KKSW-BB (bus bay) CA model, and recalibrated some of the parameters for urban roads [10]. Based on these works, the primary objective of this study is to incorporate rules of AVs into the KKSW CA model, and to extend rules of buses of the KKSW-BB CA model.…”

Section: Introductionmentioning

confidence: 99%

Influence of Bus Bay on Heterogeneous Traffic Flow Consisting of Human Driving and Autonomous Vehicles

Zhou,

Liu,

Liu

et al. 2023

IEEE Access

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With the deployment of autonomous vehicles (AV), it can be assumed that a heterogeneous flow consisting of human driving and autonomous vehicles will appear in urban road networks. Numerous studies have shown that bus stops tend to have great influence on the nearby traffic flow, but few insightful researches have been conducted on the influence of bus bays in the context of heterogeneous traffic flow consisting of human driving vehicles and autonomous vehicles. In this paper, a new KKSW (Kerner-Klenov-Schreckeneberg-Wolf)-BB (bus bay)-AVHDV (autonomous vehicles and human driving vehicles) CA (cellular automata) model is proposed to study the influence of bus bays on heterogeneous traffic flow based on the well-known KKSW CA model. Through numerical simulations, the flow characteristics, congestion patterns and speed characteristics in the heterogeneous traffic flow are studied. The frequency and severity of rear-end collisions are analyzed to study the influence of the bus bay on traffic safety. The results show that bus bays may have a significant impact on traffic flow efficiency and traffic safety. The introduction of AVs in the heterogeneous traffic flow could significantly improve traffic efficiency and safety near the bus bay, especially under the condition of heavy traffic flow.INDEX TERMS Bus bay, bus interference, three-phase traffic theory, cellular automata model, heterogeneous traffic flow, human driving and autonomous vehicles, traffic conflict techniques

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“…Safe driving models are the theoretical basis for achieving the development of intelligent transportation [2]. Generally, microscopic traffic flow models describing the relationship between following distance and speed can be constructed based on the relationship between traffic density, vehicle speed and traffic volume [3]- [4]. As the main microscopic model, the following model describes the speed change process of vehicles in the following state under the influence of the driving state of the previous vehicle and road conditions, which dynamically reflects the influence of the change of the driving state of the previous vehicle on the driving state of the following vehicle and reveals the law of traffic congestion formation and evolution.…”

Section: Introductionmentioning

confidence: 99%

Safe Driving Model Based on V2V Vehicle Communication

Xie

Wang

et al. 2022

IEEE Open J. Intell. Transp. Syst.

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Along with the rapid development of connected vehicle communication technology, describing the vehicle following driving status becomes gradually complicated. Driver behavior, vehicle type, and road factors affect vehicle speed, and the following distance reflects variability. In this paper, a nonlinear following distance model is constructed to characterize this variability. The model is based on the full speed difference model (FVD), and introduces the headway time distance coefficient, the following vehicle type coefficient, the communication advance response parameter reflecting the driver's personal characteristics, and the slope coefficient and curve curvature coefficient reflecting the road conditions, etc., and analyzes to obtain the stability conditions of the model. MATLAB is applied to numerical simulation experiments of the model, and the results show that the model can better describe the variability of following headway due to driver attributes, vehicle type, slope and curve in the connected vehicle scenario, thus providing a reference for traffic flow control and management.

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Research on the influence of bus bay on traffic flow in adjacent lane: Simulations in the framework of Kerner’s three-phase traffic theory

Cited by 20 publications

References 40 publications

Shaping a New Level of Bus Service under a Novel Concept of Bus Interaction: A Meta-Review

Shaping a New Level of Bus Service under a Novel Concept of Bus Interaction: A Meta-Review

Influence of Bus Bay on Heterogeneous Traffic Flow Consisting of Human Driving and Autonomous Vehicles

Safe Driving Model Based on V2V Vehicle Communication

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