Estimation of left-turn capacity at the unsignalized intersection

Ruškić, Nenad; Mirović, Valentina

doi:10.1016/j.simpat.2020.102170

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Palumbo [19] created a framework for accurate traffic analysis to estimate the observed vehicle queue lengths on the roadway, and to adjust the timing of each phase of the intersection signal to improve vehicle delays. Considering that unsignalized intersections are still the majority, AnyLogic software is more suitable for their capacity calculation than the traditional HCM and Harders/Seigloch formulas [20]. Zeng [21] approached the queuing problem from the perspective of intelligent driving.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Traffic Characteristics and Distance Optimization Design between Entrances and Exits of Urban Construction Projects and Adjacent Planar Intersections

Zhang

et al. 2023

Sustainability

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Motor vehicle entrances/exits ensure the accessibility of traffic within urban construction projects, but the improper distance between adjacent sections can lead to vehicle queues at upstream or downstream intersections, causing congestion within the influence of the entrances and exits. It is necessary to improve the operational efficiency of entrances/exits and intersections of urban construction projects. The calculation models of the vehicle convergence section, intertwined section and queuing section are established based on the data fitting relationship curve, function relationship fitting and maximum likelihood estimation method. These are combined with the traffic characteristics of vehicles and a statistical analysis of traffic flow survey data, and the models are developed according to the equal speed offset cosine curve function, queuing theory and traffic flow fluctuation theory. Based on the analysis of the traffic flow characteristics, the minimum distance value is calculated, and the recommended value is obtained. The VISSIM simulation parameters are calibrated according to the survey data, and then the simulation is carried out and the results are output. The results show that the output values of each index are improved under the calculated distance, indicating that the study has certain significance for improving the traffic conditions and operational efficiency at entrances/exists and intersections, which verifies the applicability and effectiveness of the theoretical model proposed in this paper.

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Section: Introductionmentioning

confidence: 99%

Analysis of Traffic Characteristics and Distance Optimization Design between Entrances and Exits of Urban Construction Projects and Adjacent Planar Intersections

Zhang

et al. 2023

Sustainability

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“…AnyLogic simulation software was developed by XJ Technologies with the Java platform. The simulation software incorporates the UML language as well as powerful and flexible functions, which can be applied to discrete event modeling (Ruškić and Mirović, 2021; Svistunova, 2021; Xi and Son, 2011; Yang et al, 2016), system dynamics modeling (Zhang et al, 2012), agent-based modeling (Kim et al, 2018), hybrid system modeling (Borshchev et al, 2002), and simulations. Compared with other simulation software, AnyLogic simulation software not only has a more flexible user interface, but also is the only tool that supports the combination of discrete events, system dynamics and multi-agent simulation in one model.…”

Section: Introductionmentioning

confidence: 99%

Simulation and optimization of mining-separating-backfilling integrated coal mine production logistics system

Wang

Long

Meng

2022

Energy Exploration & Exploitation

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As a new collaborative mining technology, the integration of mining-separating-backfilling (IMSB) enables the coal industry to realize safe, efficient, and green mining of coal resources at the expense of making the underground coal mine production more complex. In coal mining, the primary problem is to eliminate the production logistics system bottleneck to increase coal output. The key to synergetic mining is to realize that the mining capacity of the fully mechanized face should match the underground raw coal separating and gangue backfilling capacities. Considering a coal mine with IMSB in Henan Province, AnyLogic simulation software was used to simulate and optimize the production logistics system based on a generalized stochastic Petri net (GSPN). The main simulation results show that: (1) the raw coal separating capacity of this deep mine matches its mining capacity, and the gangue backfilling capacity can almost meet the demand for backfilling after raw coal mining; (2) belt conveyors 1 and 6 are the transportation bottlenecks of increasing production in the mine, and the lifting capacity of the main shaft is insufficient; (3) after optimization, the clean coal output of this coal mine increased by 3087 t monthly. This research promotes synergetic mining in the coal industry and can serve as a reference for the optimization of similar coal mine production logistics systems.

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Potential risk assessment for safe driving of autonomous vehicles under occluded vision

Wang

Song

et al. 2022

Sci Rep

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This study aimed to explore how autonomous vehicles can predict potential risks and efficiently pass through the dangerous interaction areas in the face of occluded scenes or limited visual scope. First, a Dynamic Bayesian Network based model for real-time assessment of potential risks is proposed, which enables autonomous vehicles to observe the surrounding risk factors, and infer and quantify the potential risks at the visually occluded areas. The risk distance coefficient is established to integrate the perception interaction ability of traffic participants into the model. Second, the predicted potential risk is applied to vehicle motion planning. The vehicle movement is improved by adjusting the speed and heading angle control. Finally, a dynamic simulation platform is built to verify the proposed model in two specific scenarios of view occlusion. The model has been compared with the existing methods, the autonomous vehicles can accurately assess the potential danger of the occluded areas in real-time and can safely, comfortably, and effectively pass through the dangerous interaction areas.

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Estimation of left-turn capacity at the unsignalized intersection

Cited by 4 publications

References 6 publications

Analysis of Traffic Characteristics and Distance Optimization Design between Entrances and Exits of Urban Construction Projects and Adjacent Planar Intersections

Analysis of Traffic Characteristics and Distance Optimization Design between Entrances and Exits of Urban Construction Projects and Adjacent Planar Intersections

Simulation and optimization of mining-separating-backfilling integrated coal mine production logistics system

Potential risk assessment for safe driving of autonomous vehicles under occluded vision

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