Queue length estimation from connected vehicles with range measurement sensors at traffic signals

Comert, Gurcan; Cetin, Mecit

doi:10.1016/j.apm.2021.07.003

Cited by 16 publications

(3 citation statements)

References 24 publications

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“…The lengths of the trains are traffic-class-dependent and generally distributed. Comert [44] presents a method for queue length estimation from connected vehicles equipped with range measurement sensors. Li [45] proposed a multiobjective optimization method for signal control design at intersections in urban traffic network.…”

Section: Model Of Queuing Length and Delay At Intersectionmentioning

confidence: 99%

An Interactive Traffic Signal Optimization Approach with Dynamic Variable Guidance Lane Control

Zhao

Pan

et al. 2022

Journal of Advanced Transportation

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The purpose of setting up variable guidance lanes is to ease the traffic pressure on lanes with more traffic under the condition of ensuring the traffic capacity of the intersection. This study proposes a bi-level model-interactive relationship between variable guidance lane design and signal control and carry out a case study for a road in Wuhan, China. The design plan for the goal, combined with the design plan of the variable guidance lane, optimizes the signal timing plan of the intersection. A real case is modeled in VISSIM to simulate the design scheme of variable guidance lanes to verify the reliability and effectiveness of the bi-level model. The results showed that the average vehicle delay at the intersection was reduced by 20.65% after the bi-level model was optimized. The average error between model calculation results and simulation results is 9.88%. Moreover, the influencing factors of the proposed model are also carried out. The results show that when the traffic flow is greater than 1,000 pcu/h, the optimization effect of the model is more significant. When the traffic capacity gradually increases, the average vehicle delay calculated by the model is smaller. The design scheme and signal timing scheme proposed by the bi-level model can ensure the overall traffic efficiency of the intersection, improve the traffic efficiency of the traffic-stressed lanes, and further promote the space-time resource utilization of the intersection, optimize the space-time resources of the road network, and provide a scientific basis and new ideas and methods.

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Section: Model Of Queuing Length and Delay At Intersectionmentioning

confidence: 99%

An Interactive Traffic Signal Optimization Approach with Dynamic Variable Guidance Lane Control

Zhao

Pan

et al. 2022

Journal of Advanced Transportation

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“…However, with the gradual popularization of the smart home market, it will be more difficult to recultivation of consumer habits. The safety precaution system in the smart home is to be fully prepared to prevent dangerous situations and keep family members in a safe state where there is no infringement and no accidents [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Indoor Smart Design Algorithm Based on Smart Home Sensor

Zheng

2022

Journal of Sensors

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Modern home furnishings have solved the most basic housing problems, but how to make homes more informatized and modern has become the focus of people’s growing concern. With the rapid development of information technology, improving the intelligent level of family life and modern lifestyle is bound to be the trend of future development. This paper studies a smart home control system based on wireless sensor network positioning, which can perceive the home environment through the sensor module, and the control module can automatically control common electrical appliances to achieve real-time data monitoring and alarm functions. Specifically, it includes a positioning module, a communication module, and a server: the positioning module is connected to the server through the communication module, and the positioning module is used to obtain user location information in real time and report user location information to the server at intervals. The server receives the user reported at intervals through the communication module. Location information and remotely control smart home devices based on user location information. The research results show that the method proposed in this paper can separately monitor each part of the home and send it to the home appliance control module through the server to control the home appliance, optimize the living environment, and realize the remote control and monitoring of the smart home.

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“…Later, Cao et al ( 27 ) applied ICVs to estimate lane-level traffic shockwave speed. A recent study tried to estimate the queue length at traffic signals with ICVD ( 28 ). However, in these studies, the ICV is required to continuously collect trajectories of itself and its leading vehicle since their methods must rely on continuous trajectories with a car-following relation.…”

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confidence: 99%

Estimating Freeway Lane-Level Traffic State with Intelligent Connected Vehicles

Liu

Zhang

Miwa

et al. 2022

Transportation Research Record: Journal of the Transportation R

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This paper proposes a methodology for estimating lane-level traffic state for freeways by fusing data from intelligent connected vehicles (ICVs) with fixed detector data (FDD) and probe vehicle data (PVD). With microscopic vehicle trajectories of ICVs and their surrounding vehicles, the proposed methodology integrates a multilane traffic flow model into the data assimilation framework based on extended Kalman filter (EKF), in which traffic measurement models are formulated for ICV data, PVD, and FDD, respectively, to fit their different characteristics. Simulation experiments are conducted to test the performance of the proposed methodology with various penetration rates of ICVs, using a set of simulated ICV data based on the Next Generation SIMulation (NGSIM) data sets. The results demonstrate that by utilizing only 3% to 5% ICVs in the mixed traffic, the proposed methodology could produce an accurate estimate of lane-level traffic speed and a reasonable estimate of lane-level traffic density.

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Queue length estimation from connected vehicles with range measurement sensors at traffic signals

Cited by 16 publications

References 24 publications

An Interactive Traffic Signal Optimization Approach with Dynamic Variable Guidance Lane Control

An Interactive Traffic Signal Optimization Approach with Dynamic Variable Guidance Lane Control

Indoor Smart Design Algorithm Based on Smart Home Sensor

Estimating Freeway Lane-Level Traffic State with Intelligent Connected Vehicles

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