Assessment of Vehicles Headway during Queue Dissipation at Signal-Controlled Intersection under Mixed Traffic

Mondal, Satyajit; Gupta, Ankit

doi:10.18520/cs/v116/i3/437-444

Cited by 17 publications

(5 citation statements)

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“…A box-and-whisker plot [38] is a graphical representation of a dataset that displays, in a compact and standardized manner, information about the location, dispersion, degree of dispersion, and crosstabulation of anomalous observations. Typically, a box plot as shown in Figure 9 consists of four parts: the median, the box, the tentacles extending from the box, and the outliers.…”

Section: Verification Of the Driving Style Recognition Modelmentioning

confidence: 99%

A Novel Longitudinal Control Method Integrating Driving Style and Slope Prediction for High-Efficiency HD Vehicles

Zhou,

Pan,

Guan

et al. 2023

Applied Sciences

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Developing high-precision vehicle longitudinal control technology guided by ecological driving represents a highly promising yet challenging endeavor. It necessitates the fulfillment of the driver’s operational intentions, precise speed control, and reduced fuel consumption. In light of this challenge, this study presents a novel vehicle longitudinal control model that integrates real-time driving style analysis and road slope prediction. First, it utilizes spectral clustering based on Bi-LSTM automatic encoders to identify driver driving styles. Next, it examines the driving environment and predicts the current slope of the vehicle. Additionally, a fuzzy controller is designed to optimize control performance, adapt to various driving styles and slopes, and achieve better fuel efficiency. The research results indicate that the DS-MPC control model developed in this paper can effectively distinguish various driving modes and has high speed control accuracy while saving 3.27% of fuel.

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Section: Verification Of the Driving Style Recognition Modelmentioning

confidence: 99%

A Novel Longitudinal Control Method Integrating Driving Style and Slope Prediction for High-Efficiency HD Vehicles

Zhou,

Pan,

Guan

et al. 2023

Applied Sciences

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“…This research work is inspired by the work done by many researchers across the globe. A study conducted by [5] examined the time gap between vehicles at a signalized intersection. The findings revealed that as the green signal duration increased and when there was a mix of different types of vehicles, the time gap between vehicles decreased.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparison of Headway Measurement Methods for Heterogeneous Traffic Conditions

Khan,

Shah

2023

IJRASET

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This paper covers research aimed at determining if moving method (MM) is capable enough to accurately determine traffic parameters including headway, traffic flow, and traffic density on 2-lane highways under heterogeneous traffic conditions of Pakistan. For this, stationary method (SM) is set as base and results obtained by MM are compared. Linear model is developed to compare headway measured using MM. Results indicated that for 2-lane highway, chi-square value is 0.65 indicating 65% of results obtained by MM are compatible to SM. Percentage difference b/w the results obtained by MM and SM for traffic flow and traffic density are 2.32 and 5.17 respectively. Overall performance of MM for traffic parameter determination is quite satisfactory however, these results are only valid in generalized conditions. For specific conditions of traffic and road, these models need to be re-evaluated

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“…Researchers analyzed the influencing factors of queuing dissipation characteristics from different angles. ereinto, Mondal et al evaluated the distance traveled by vehicles when the queue dissipates at a signalized intersection under mixed traffic [6]. Zhou et al studied the influence of bicycles on the headway of vehicles on direct-through lanes in view of mixed motor and non-motor characteristics of urban signalized intersections in China [7].…”

Section: Related Workmentioning

confidence: 99%

Dissipation Characteristics of Vehicle Queue in V2X Environment Based on Improved Car-Following Model

Liang

et al. 2022

Mathematical Problems in Engineering

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In recent years, the technology of Internet of Vehicles has developed rapidly, among which vehicle to everything (V2X) technology is provided with a quite important promotion value in the intelligent transportation field. In V2X environment, the driver can receive real-time information of the motion status of adjacent vehicles and the signal duration of the intersection, and take the decision-making action of manipulating the vehicle in advance, which has a certain impact on the evolution process of queue dissipation. This paper studies the improved OV model based on V2X environment and considering the driver’s early response time selects the intersection queue dissipation efficiency as the index to analyze the intersection traffic efficiency and studies the impact of different initial headway, maximum speed, and safety distance on the intersection traffic flow. The simulation results show that compared with the traditional OV model and the OV model considering driver’s reaction delay, the model proposed in this paper greatly improves the efficiency of traffic flow recovery after green light, so the model proposed in this paper can promote the stability of traffic flow. The linear stability of the proposed model was analyzed by using the linear stability theory to obtain the stability conditions of the improved model. Furthermore, a simulation environment was established to analyze the vehicle queue dissipation at intersections and to simulate the improved V2X car-following model as well as the platoon dissipation state under different traffic parameters. The research results show that vehicle drivers can obtain traffic flow operation status in real-time through V2X equipment and change the operation of the vehicle itself in a targeted manner, which can significantly improve the safety and stability of traffic flow operation, and greatly raise the dissipation efficiency of the platoon. The method proposed in this paper can increase the queue dissipation rate and shorten the recovery time of the traffic system, respectively.

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Assessment of Vehicles Headway during Queue Dissipation at Signal-Controlled Intersection under Mixed Traffic

Cited by 17 publications

References 0 publications

A Novel Longitudinal Control Method Integrating Driving Style and Slope Prediction for High-Efficiency HD Vehicles

A Novel Longitudinal Control Method Integrating Driving Style and Slope Prediction for High-Efficiency HD Vehicles

Comparison of Headway Measurement Methods for Heterogeneous Traffic Conditions

Dissipation Characteristics of Vehicle Queue in V2X Environment Based on Improved Car-Following Model

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