Automated generation of traffic signals and lanes for MATSim based on OpenStreetMap

Ziemke, Theresa; Braun, Söhnke

doi:10.1016/j.procs.2021.03.093

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…The challenges of road network generation from OSM data has been addressed in prior work. Some studies [11], [12] suggest that nodes which represent the same intersection can be integrated into one relying on reasoning over geometric connection relations, such as the spacing among the nodes, and whether they can form a circuit or not. However, this approach can typically handle intersections consisting of only a small number of nodes, and it struggles over complex intersections with extra turn lanes.…”

Section: Related Workmentioning

confidence: 99%

Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO

Meng¹,

Du²,

Sottovia³

et al. 2022

SUMO Conf Proc

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Converting OpenStreetMap (OSM) data to a road network suitable for microscopic traffic simulation keeps being a challenging task: both missing information and excessive details, as well as wrong typologies present in the dataset frequently confuses automatic converters. In this paper, we present a method along with a reference implementation, Traffic Simulation Map Maker (TSMM), which aims at substantially increasing the automation level of road network prototyping by simplifying the OSM data while preserving important topology information. The main objective of this work is to enable the study of traffic simulation dynamics at scale using real-world road networks, while minimizing the need for solving the long tail of problems related to the road network generation. Our proposed approach yields what we believe is a good trade-off between precision and automation, making bold yet acceptable decisions that solve most of the errors at the source, i.e., the map. While there is definitely a loss in fidelity with respect to the real world, many properties of the road network are preserved. We argue that TSMM greatly improves the availability of arbitrarily large and usable road networks on top of available OSM maps by reducing the complexity for conversion tools and traffic simulation researchers alike. A proof-of-concept study using OSM data from Binjiang, China, demonstrates that TSMM is able to generate a road network with well-preserved topological information which avoids the many errors and deadlocks that occur when building the network using the original input sources.

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Section: Related Workmentioning

confidence: 99%

Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO

Meng¹,

Du²,

Sottovia³

et al. 2022

SUMO Conf Proc

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Analyzing transportation mode interactions using agent-based models

Uthpala,

Hansika,

Dissanayaka

et al. 2023

SN Appl. Sci.

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Traffic in urban areas contributes significantly to congestion and air pollution, which contributes to climate change issues and causes economic losses and fuel wastage. Agent-based models have significant advantages for analyzing urban transportation and its sustainability. The main objective of this paper is to provide a critical review of research on agent-based models for traffic simulation in urban areas. This article reviews the literature on the subject and examines earlier case studies that dealt with agent-based models for micro-mobility and traffic simulation considering six criteria. The study analyzes multiple publications obtained from databases such as Google Scholar, Scopus, and Web of Science. These publications span from 2014 to 2022 and are scrutinized to fulfill the stated objectives. Furthermore, a thorough critical evaluation is performed on a chosen set of 16 publications. The research also proposes traffic simulation tools based on insights gathered from case studies. Further, it discusses how to choose a decent data set through a balanced and objective summary of study findings on the topic and recommends future work in this topic.

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Automated generation of traffic signals and lanes for MATSim based on OpenStreetMap

Cited by 2 publications

References 5 publications

Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO

Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO

Analyzing transportation mode interactions using agent-based models

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