Autonomous Vehicles Parameter Influence on Mixed Traffic Flow on a Motorway: A Simulation Approach

Babić, Lidija; Tišljarić, Leo; Vrbanić, Filip; Novačko, Luka

doi:10.1016/j.trpro.2022.09.018

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…It is well known that the travel times of a road segment can vary significantly across different flow classes. The travel time plays an important role in the traveler's route choice, departure time choice, and modal choice in the network [22][23][24]. Based on the average results, characteristic profiles were selected for which a specific evaluation of platoon frequencies concerning intensity was performed.…”

Section: Methods Of Processing and Evaluation Of Datamentioning

confidence: 99%

Research on Vehicle Congestion Group Identification for Evaluation of Traffic Flow Parameters

Drliciak,

Cingel,

Celko

et al. 2024

Sustainability

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The traffic flow parameters of the road network are most often evaluated through volumes, which are compared with its maximum volume (capacity) or speed and density. Capacity assessment was performed, considering horizontal and vertical orientation and characteristics of the traffic stream. This article presents the results of research on the identification of different states of creating congestion groups and their relationship to road capacity or decrease in speed. The following hypothesis was verified: when the capacity of the road is exceeded or almost reached, there is “always” a significant drop in the flow of traffic compared to when the capacity is not exceeded. The analysis showed that the average travel speed drops by 30% for the condition where groups of 25 or more vehicles are formed with a time interval of up to 4 s. The results make it possible to set traffic models in short time intervals according to real spatial conditions and to use them in the analysis of the environmental and safety impacts of road transport.

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Section: Methods Of Processing and Evaluation Of Datamentioning

confidence: 99%

Research on Vehicle Congestion Group Identification for Evaluation of Traffic Flow Parameters

Drliciak,

Cingel,

Celko

et al. 2024

Sustainability

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show abstract

“…Under the V2X context, it is vital to consider real-time information exchange and processing among vehicles and infrastructures when designing simulation models and parameters [1,2]. In this research, we manage to make the V2X simulation based on SUMO, the simulation tool which supports sensor suite and V2X models [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Evaluations of Driving Safety with Increasing Connected Vehicles on the Expressway: A Simulation-Driven Research

Zhang,

Diao,

Wan

et al. 2023

Advances in Transdisciplinary Engineering

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Connected vehicles will gradually become important participants of expressways in the future. However, evaluations for driving safety when there are increasing connected vehicles on expressways are not sufficient. To address the issue, this research makes driving safety evaluations of ramp merging and vehicle following under low-visibility events, two typical V2X scenarios on expressways, through a SUMO simulation approach. The simulation is carried out based on the topology map of the Changtai Expressway, one of the leading V2X demonstration projects in China. Three indicators, namely ‘Number of Decelerations’, ‘Average Speed’, and ‘Number of Abnormal Acceleration’, are continually analyzed to evaluate driving safety on the expressway. The results show that the number of decelerations and abnormal acceleration generally decreases while the average travel speed gradually rises when the market share of connected vehicles grows. Therefore, the safety evaluation indicators perform better under a higher share of connected vehicles, which is encouraging in developing V2X on expressways.

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Analysis of roadway capacity for heterogeneous traffic flows considering the degree of trust of drivers of HVs in CAVs

Pei,

Pan,

Wen

2024

Physica A: Statistical Mechanics and its Applications

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Autonomous Vehicles Parameter Influence on Mixed Traffic Flow on a Motorway: A Simulation Approach

Cited by 5 publications

References 9 publications

Research on Vehicle Congestion Group Identification for Evaluation of Traffic Flow Parameters

Research on Vehicle Congestion Group Identification for Evaluation of Traffic Flow Parameters

Evaluations of Driving Safety with Increasing Connected Vehicles on the Expressway: A Simulation-Driven Research

Analysis of roadway capacity for heterogeneous traffic flows considering the degree of trust of drivers of HVs in CAVs

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