Analysing Routes Generated by Planning-based Centralised Traffic Routing

Centralised Traffic Routing offers a global perspective of the entire region, enabling effective route finding for vehicles that navigate through the region. Recently, automated planning techniques were leveraged for centralised traffic routing. However, centralised routing techniques might generate different routes for vehicles even if they share the same origin and destination and arrive at a similar time. Also, centralised routing techniques are usually computationally demanding. In this paper, we analyse the outputs of a planning-based centralised traffic routing method in terms of the number of different routes per journey, differences between traveled distance, and travel time among these (different) routes. Then, we propose a method that leverages the found routes and their relative distribution to vehicles for an online centralised routing.

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Publication Details

Journal
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
Published
2025-05-14
DOI
https://doi.org/10.32473/flairs.38.1.138872
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Analysing Routes Generated by Planning-based Centralised Traffic Routing

Andrii Nyporko, Lukáš Chrpa, Matyáš Švadlenka
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
Data Management and Algorithms
article

Analysing Routes Generated by Planning-based Centralised Traffic Routing

Andrii Nyporko, Lukáš Chrpa, Matyáš Švadlenka
article en

Abstract

Centralised Traffic Routing offers a global perspective of the entire region, enabling effective route finding for vehicles that navigate through the region. Recently, automated planning techniques were leveraged for centralised traffic routing. However, centralised routing techniques might generate different routes for vehicles even if they share the same origin and destination and arrive at a similar time. Also, centralised routing techniques are usually computationally demanding. In this paper, we analyse the outputs of a planning-based centralised traffic routing method in terms of the number of different routes per journey, differences between traveled distance, and travel time among these (different) routes. Then, we propose a method that leverages the found routes and their relative distribution to vehicles for an online centralised routing.

Proceedings of the ... International Florida Artificial Intelligence Research Society ConferenceVol. 38
Czech Technical University in Prague (CZ)
Grantová Agentura České Republiky
Openalex Percentile: Top 73%
Data Management and Algorithms
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Analysing Routes Generated by Planning-based Centralised Traffic Routing — Andrii Nyporko, Lukáš Chrpa, et al. · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2025) | TGRS Research Map | TGRS