Introduction of Autonomous Vehicles: Roundabouts Design and Safety Performance Evaluation

Deluka-Tibljaš, Aleksandra; Giuffrè, Tullio; Šurdonja, Sanja; Trubia, Salvatore

doi:10.3390/su10041060

Cited by 97 publications

(63 citation statements)

References 11 publications

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“…The issue of traffic flow behavior in the roundabout area has repeatedly been the subject of scientific research (e.g., [1][2][3][4][5][6]). There are various types of models and the resulting methods in the literature used to calculate the capacity of roundabouts and their individual entries.…”

Section: Introductionmentioning

confidence: 99%

Roundabout Entry Capacity Calculation—A Case Study Based on Roundabouts in Tokyo, Japan, and Tokyo Surroundings

Macioszek

2020

Sustainability

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The article presents the calculation of roundabout entry capacity as a case study based on roundabouts located in Tokyo, Japan, and Tokyo surroundings. The analysis was conducted as part of the project entitled "Analysis of the applicability of the author's method of roundabouts entry capacity calculation developed for the conditions prevailing in Poland to the conditions prevailing at roundabouts in Tokyo (Japan) and in the Tokyo surroundings". The main aim and the research question was whether the author's model of roundabouts entry capacity calculation constructed for the conditions prevailing in Poland after calibration is suitable to calculate roundabout entry capacity of roundabouts located in Tokyo and in the Tokyo surroundings. In order to perform the calibration in 2019, measurements were taken at the single-lane roundabouts located in Tokyo and Tokyo surroundings. The model calibration revealed that it is possible to evaluate the entry capacity of roundabouts located in Tokyo and in Tokyo surroundings using the author's model.

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Section: Introductionmentioning

confidence: 99%

Roundabout Entry Capacity Calculation—A Case Study Based on Roundabouts in Tokyo, Japan, and Tokyo Surroundings

Macioszek

2020

Sustainability

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“…The work in reference [22] surveys a cyber-physical vehicle system (CPVS) for cyber and physical schemes for resource consumption, time varying patterns, scheduling, vehicle control and task and motion planning. In reference [23], the safety level of roundabouts is evaluated for autonomous vehicles by simulating the roundabouts win combination to the conventional vehicles. The simulation highlights the differences in traffic parameters as queue length, average speed and delay in stopping.…”

Section: Related Workmentioning

confidence: 99%

Hybrid Inference Based Scheduling Mechanism for Efficient Real Time Task and Resource Management in Smart Cars for Safe Driving

et al. 2019

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In recent years, the focus of the smart transportation industry has been shifting towards the research and development of smart cars with autonomous control. Smart cars are considered to be a smart investment, as they promote safe driving while focusing on an alternate transportation fuel resource, making them eco-friendly too. Safe driving is one of the crucial concerns in autonomous smart cars. The major issue for the better provision of safe driving is real time tasks management and an efficient inference system for autonomous control. Real time task management is of huge significance in smart cars control systems. An optimal control system consists of a knowledge base and a control unit; where the knowledge base contains the data and thresholds for rules and the control unit contains the functionality for smart vehicle autonomous control. In this work, we propose a hybrid of an inference engine and a real time task scheduler for an efficient task management and resource consumption. Our proposed hybrid inference engine and task scheduler mechanism provides an efficient way of controlling smart cars in different scenarios such as heavy rainfall, obstacle detection, driver’s focus diversion etc., while ensuring the practices of safe driving. For the performance analysis of our proposed hybrid inference based scheduling mechanism, we have simulated a non-hybrid version with the same system constraints and a basic implementation of inference engine. For performance evaluation, CPU time utilization, tasks’ missing rate, average response time are used as performance metrics.

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“…The most recently appearing group of models concerns those based on micro-simulations. These models have received support by advances in computer systems, allowing to manage an extremely large number of events, albeit with considerable efforts in calibration and application to real cases, including modern intelligent transport systems and automated vehicles [39]. The recent literature proposes numerous models and solutions based on commercial (e.g., Paramics [40], Aimsun [41], and Vissim [42]) or open source (e.g., SUMO [43]) proprietary microscopic simulation programs, or using for example discrete event simulations (e.g., [44]), game theory (e.g., [45,46]), multi agent systems (e.g., [47]), cellular automata (e.g., [48][49][50]), and various artificial intelligence learning approaches (e.g., [51][52][53]).…”

Section: Introductionmentioning

confidence: 99%

New Extensions and Applications of the Modified Chumanov Model for Calculating Entry Capacity of Single-Lane Roundabouts

2020

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Over the past decades many models for roundabout capacity have been proposed. Attention to this research sector has never stopped and still today new formulations are always being studied, especially in view of their direct application in design practice. This paper reports the first noteworthy results of a research concerning the Modified Chumanov (MC) model, which can be used to estimate the capacity of single-lane roundabout entrances. After a detailed examination of the original model recommended by the Russian guidelines for small urban roundabouts, the paper proposes some extensions which allow using the revised model even for larger intersections. The MC model also includes some parameterizations that allow its application with different road pavement surface conditions (i.e., dry and wet conditions). The MC entry capacity model, as function of circulating flow and other parameters dependent on geometry and environmental conditions, was compared with 15 widespread models considering a typical medium-sized single-lane roundabout. A validation test was carried out considering four capacity–circulating flow datasets from the literature. The proposed MC model showed good flexibility in adapting to data. This flexibility appears better than the most recent models by Highway Capacity Manual, in the absence of local calibration of the psychotechnical parameters.

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Introduction of Autonomous Vehicles: Roundabouts Design and Safety Performance Evaluation

Cited by 97 publications

References 11 publications

Roundabout Entry Capacity Calculation—A Case Study Based on Roundabouts in Tokyo, Japan, and Tokyo Surroundings

Roundabout Entry Capacity Calculation—A Case Study Based on Roundabouts in Tokyo, Japan, and Tokyo Surroundings

Hybrid Inference Based Scheduling Mechanism for Efficient Real Time Task and Resource Management in Smart Cars for Safe Driving

New Extensions and Applications of the Modified Chumanov Model for Calculating Entry Capacity of Single-Lane Roundabouts

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