Enriching complex road intersections from OSM with traffic-related behavioral information

Keler, Andreas; Grigoropoulos, Georgios; Mussack, Dominik

doi:10.5194/ica-proc-2-61-2019

Cited by 3 publications

(10 citation statements)

References 2 publications

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“…As stated in previous research [1], we already identified numerous insights from a case study at a small roundabout in Germering, Germany, which is pictured in Figure 1. There are complex interaction and communication patterns between the 3 types of vehicle drivers, bicyclists and pedestrians which are directly dependent on the infrastructural design and the changing visibilities of every road user.…”

Section: Traffic Observation and Documentation Of Maneuvers And Gesturesmentioning

confidence: 55%

“…In our approach, we first define flows for a traffic simulation network that can optionally be a depiction of real-world infrastructure [30] and base on real-world observations at traffic counts or extracted information from video data acquisitions. With the collected data, we can then classify observed maneuvers based on specifying their appearances and trajectory shapes together with variations in speed and their frequencies within the observation period [1]. With these collections, it is possible to design scenarios for bicycle simulator studies [2].…”

Section: Methodological Approachmentioning

confidence: 99%

“…We follow up on enriching complex road intersections from OpenStreetMap (OSM) with traffic-related behavioral information [1] and continue with collecting information on test subjects traveling through these modeled virtual-reality (VR) simulation environments.…”

Section: Introductionmentioning

confidence: 99%

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Data-Driven Scenario Specification for AV–VRU Interactions at Urban Roundabouts

et al. 2021

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Detailed specifications of urban traffic from different perspectives and scales are crucial for understanding and predicting traffic situations from the view of an autonomous vehicle (AV). We suggest a data-driven specification scheme for maneuvers at different design elements of the built infrastructure and focus on urban roundabouts in Germany. Based on real observations, we define classes of maneuvers, interactions and driving strategies for cyclists, pedestrians and motorized vehicles and define a matrix for merging different maneuvers, resulting in more complex interactions. The sequences of these interactions, which partially consist of explicit communications, are extracted from real observations and adapted into microscopic traffic flow simulations. The simulated maneuver sequences are then visualized in 3D environments and experienced by bicycle simulator test subjects. Using trajectory segments (in fictional space) from two conducted simulator studies, we relate the recorded movement patterns of test subjects with observed cyclists in reality.

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Section: Traffic Observation and Documentation Of Maneuvers And Gesturesmentioning

confidence: 55%

Section: Methodological Approachmentioning

confidence: 99%

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Data-Driven Scenario Specification for AV–VRU Interactions at Urban Roundabouts

et al. 2021

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“…Our approach makes use of the netconvert tool [2] of the microscopic traffic flow simulation environment SUMO [3]. Similar to the approach of Keler, Grigoropoulos, and Mussack (2019) [4], we start with an extraction of raw OSM data by selecting a rectangle investigation area. After the conversion step into a PlainXML format, we are able to improve manually the quality of the road network representation by adjusting elements and specific details of the transportation infrastructure via the tool netedit (of SUMO).…”

Section: Open Geodata Extraction and Conversion Into Simulation Networkmentioning

confidence: 99%

Generating and Calibrating a Microscopic Traffic Flow Simulation Network of Kyoto

2023

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Microscopic traffic flow simulations as tools for enabling detailed insights on traffic efficiency and safety gained numerous popularity among transportation researchers, planners and engineers in the first to decades of the 21st century. By implementing a test bed for simulation scenarios of complex urban transportation infrastructure it is possible to inspect specific effects of introducing small infrastructural changes related to the built environment and to the introduction of advanced traffic control strategies. The possibility of reproducing present problems or the transportation services, such as the ones of public bus services is a key motivation of this work. In this research, we reproduce the road network of the city of Kyoto for observing specific travel patterns of public buses such as the bus bunching phenomena. Therefore, a selection of currently available data sets is used for calibrating a cutout of the Kyoto road network of a relatively large extent. After introducing a method for geodata extraction and conversion, we approach the calibration by introducing virtual detectors representing present inductive loops and make use of historical traffic count records. Additionally, we introduce bus routes partially contributed by volunteer mappers (OSM project). First simulation outcomes show numerous familiar (local knowledge) flow patterns.

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“…The DYNA4 approach is addressed in Keler et al (2018), Keler et al (2019aKeler et al ( , 2019b and in Malcolm (2019). Similar to the workflow in Figure 3, most map designs rely on real investigation areas or extracts of these from OSM (Keler et al 2021).…”

Section: The Dyna4 Approachmentioning

confidence: 99%

Designing Maps for Bicycling Simulator Studies – three practical Approaches

Keler

Malcolm

Grigoropoulos

et al. 2021

Proc. Int. Cartogr. Assoc.

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Abstract. Bicycle simulator studies result from attempts of solving various novel problem statements of modern transportation-related research questions. Examples imply the evaluation of novel traffic control strategies for prioritizing urban bicycle traffic, novel bicycle infrastructure (such as bicycle highways) and the interaction and communication of vulnerable road users with automated or autonomous vehicles. As one of classical disciplines of transportation research, namely traffic engineering, and less related to human factors research, automotive research, geography, urban planning or citizen science, we want to point out those bicycle simulator studies design approaches, which are more related to testing novel traffic control strategies for cyclists, experiencing changing traffic-efficiency and –safety-related parameters in ongoing interfaced microscopic traffic flow simulations. We believe that this is a key factor in experiencing various traffic situations and the evaluation of thereof. In this research, we introduce three practical approaches of how to design maps for bicycling simulator studies. This is mainly resulting from manifold practical experiences from already conducted simulator studies beginning from the year 2018.

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Enriching complex road intersections from OSM with traffic-related behavioral information

Cited by 3 publications

References 2 publications

Data-Driven Scenario Specification for AV–VRU Interactions at Urban Roundabouts

Data-Driven Scenario Specification for AV–VRU Interactions at Urban Roundabouts

Generating and Calibrating a Microscopic Traffic Flow Simulation Network of Kyoto

Designing Maps for Bicycling Simulator Studies – three practical Approaches

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