Next Article in Journal
Artificial Intelligence in Cybersecurity: A Review and a Case Study
Previous Article in Journal
Focus on Disaster Risk Reduction by ResNet-CDMV Model After Natural Disasters
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Improving Highly Automated Traffic Management Models Using Alternative Graph Structures Simultaneously

Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary
*
Author to whom correspondence should be addressed.
Appl. Sci. 2024, 14(22), 10484; https://doi.org/10.3390/app142210484
Submission received: 16 September 2024 / Revised: 5 November 2024 / Accepted: 8 November 2024 / Published: 14 November 2024
(This article belongs to the Section Transportation and Future Mobility)

Abstract

This research focuses on improving the modelling of highly automated centralized traffic management. Authors use a binary integer modelling for traffic flow optimization. One of the main results of the research is the integration of alternative graph structures simultaneously in the investigated traffic optimization model. This allows to take into account different categories of vehicles, especially large vehicles, and specific traffic directions. The study highlights the need for seamless interoperability between graph structures and demonstrates its feasibility through the investigation of advanced safety indicators. In addition, methods are developed and presented that will allow the future integration of non-automated traffic elements and conventional traffic engineering solutions. During our research, we reviewed the automated traffic management models, focusing on the advantages of both continuous and discrete models. Continuous models provide realism but are computationally intensive, while discrete models are simpler but less realistic. Considering this, our paper proposes solutions that offer a trade-off between these approaches, allowing a balance between computational complexity, accuracy, and realism in vehicle modelling.
Keywords: occupancy grid; alternative graph structures; discrete time and spatial representation occupancy grid; alternative graph structures; discrete time and spatial representation

Share and Cite

MDPI and ACS Style

Pauer, G.; Török, Á. Improving Highly Automated Traffic Management Models Using Alternative Graph Structures Simultaneously. Appl. Sci. 2024, 14, 10484. https://doi.org/10.3390/app142210484

AMA Style

Pauer G, Török Á. Improving Highly Automated Traffic Management Models Using Alternative Graph Structures Simultaneously. Applied Sciences. 2024; 14(22):10484. https://doi.org/10.3390/app142210484

Chicago/Turabian Style

Pauer, Gábor, and Árpád Török. 2024. "Improving Highly Automated Traffic Management Models Using Alternative Graph Structures Simultaneously" Applied Sciences 14, no. 22: 10484. https://doi.org/10.3390/app142210484

APA Style

Pauer, G., & Török, Á. (2024). Improving Highly Automated Traffic Management Models Using Alternative Graph Structures Simultaneously. Applied Sciences, 14(22), 10484. https://doi.org/10.3390/app142210484

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop