Dynamic lane changing trajectory planning for CAV: A multi-agent model with path preplanning

Fang, Zong; He, Zhengbing; Zeng, Mi; Liu, Yixuan

doi:10.1080/21680566.2021.1989079

Cited by 16 publications

(5 citation statements)

References 35 publications

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“…As previously explained, lane change is a relatively high-risk action [36]. When changing lanes, drivers need to make a series of decisions [52], and these decisions contain the driver's strong subjective feelings. When the drivers change lanes, their driving habits have a direct impact on making lane-changing decisions, and the interference from their movements.…”

Section: Results Of Semmentioning

confidence: 99%

Lane changing and keeping as mediating variables to investigate the impact of driving habits on efficiency: An EWM‐GRA and CB‐SEM approach with trajectory data

Wang,

Lu,

Sun

et al. 2023

IET Intelligent Trans Sys

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This paper uses the Entropy Weight Method‐Grey Relational Analysis (EWM‐GRA) and Covariance Base Structural Equations Model (CB‐SEM) to study the relationships between driving habits and efficiency. EWM‐GRA ranks 12 indicators in terms of their relevance of lane‐changing and driving efficiency. Based on this, a CB‐SEM‐based framework to describe the relevance between driving habits and lane‐changing is established, focusing on the effects of lane‐changing and car‐following behaviour. To validate the established framework, NGSIM trajectory data is used as measurement variables to describe latent variables. Several hypotheses about the relationships between the latent variables in this framework are proposed, and they are verified using trajectory data. The results show that driving habits have a direct impact on efficiency, and this impact becomes more significant when associated with lane‐change behaviour.

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Section: Results Of Semmentioning

confidence: 99%

Lane changing and keeping as mediating variables to investigate the impact of driving habits on efficiency: An EWM‐GRA and CB‐SEM approach with trajectory data

Wang,

Lu,

Sun

et al. 2023

IET Intelligent Trans Sys

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show abstract

“…In the past few decades, much research has been carried out to develop efficient and effective route planning methods. Previous works related to the topic can be summarized into three main areas: routing data management, location-based route planning, and keyword-aware route planning [3,10]. As for location-based route planning, there are three types of related studies: source-destination-based, multi-location-based, and multi-user-based.…”

Section: Literature Reviewmentioning

confidence: 99%

A Federated Personal Mobility Service in Autonomous Transportation Systems

Jian,

Chen,

et al. 2023

Mathematics

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A personal mobility service (PMS) is developed to support personalized travel options for users in autonomous transportation systems (ATS), based on a macro-system state and micro-user behavior. However, this functionality necessitates processing and transmitting vast amounts of data, raising concerns about user privacy protection during data processing and transmission within the PMS. Furthermore, the PMS must be maintained and perform well, while preserving privacy. Therefore, we propose a novel federated PMS, denoted as a FPMS. Specifically, the FPMS can serve users’ personal mobility needs by facilitating the collaboration between the physical and information domains. Then, a common framework for FPMS architectures, which captures the features of ATSs, is proposed and discussed from both physical and logical perspectives, which include both the logical architecture and physical architecture; and we present the key algorithms for the FPMS, in conjunction with a artificial neural network (ANN). Additionally, in static estimation scenarios, the FPMS demonstrated a similar accuracy for three different models compared to the traditional PMS, while reducing the computing time by approximately 60% and communication resource consumption by approximately 85%.

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“…With the development of sensing and computing technologies, autonomous vehicles (AVs) have been widely studied and applied in some areas [1][2][3]. However, due to their high requirements for sensing and computing equipment, the cost is much higher than that of ordinary private vehicles (PVs) [4,5].…”

Section: Introductionmentioning

confidence: 99%

Research on Heterogeneous Traveler Travel Mode Choices with Differences under a Mixed Traffic Environment

Shen

Yao

2023

Sensors

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Autonomous vehicles (AVs) have been made possible by advances in sensing and computing technologies. However, the high cost of AVs makes privatization take longer. Therefore, companies with autonomous vehicles can develop shared autonomous vehicle (SAV) projects. AVs with a high level of automation require high upgrade and use costs. In order to meet the needs of more customers and reduce the investment cost of the company, SAVs with different levels of automation may coexist for a long time. Faced with multiple travel modes (autonomous cars with different levels of automation, private cars, and buses), travelers’ travel mode choices are worth studying. To further differentiate the types of travelers, this paper defines high-income travelers and low-income travelers. The difference between these two types of travelers is whether they have a private car. The differences in time value and willingness to pay of the two types of travelers are considered. Based on the above considerations, this paper establishes a multi-modal selection model with the goal of maximizing the total utility of all travelers and uses the imperial competition algorithm to solve it. The results show that low-income travelers are more likely to choose buses and autonomous vehicles with lower levels of automation, while high-income travelers tend to choose higher levels of automation due to their high value of travel time.

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Dynamic lane changing trajectory planning for CAV: A multi-agent model with path preplanning

Cited by 16 publications

References 35 publications

Lane changing and keeping as mediating variables to investigate the impact of driving habits on efficiency: An EWM‐GRA and CB‐SEM approach with trajectory data

Lane changing and keeping as mediating variables to investigate the impact of driving habits on efficiency: An EWM‐GRA and CB‐SEM approach with trajectory data

A Federated Personal Mobility Service in Autonomous Transportation Systems

Research on Heterogeneous Traveler Travel Mode Choices with Differences under a Mixed Traffic Environment

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