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Representation of Traffic Congestion: A Multicriteria Analysis Approach Based on Distances

Tallennettuna:
Julkaisussa:Programming and Computer Software vol. 50, no. 8 (Dec 2024), p. 599
Julkaistu:
Springer Nature B.V.
Aiheet:
Mexico
Traffic accidents
Datasets
Workplaces
Infrastructure
Mathematical models
Urban planning
Multiple criterion
Roads & highways
Maps
Population density
Variables
Data analysis
Data collection
Shopping centers
Gross Domestic Product > GDP
Weather
Traffic congestion
Economic growth
Cities
Representations
Case studies
Urban areas
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Abstrakti:Traffic congestion in urban areas is a complex phenomenon influenced by various factors. The location of essential city services such as hospitals, schools, shopping centers, and workplaces plays a crucial role in generating vehicular congestion. Additionally, events like traffic accidents, ongoing constructions, adverse weather conditions, and other incidents can have a significant impact on traffic congestion. The representation of traffic congestion through a mathematical model that takes into account the distances be-tween the location of services and traffic incidents makes it possible to characterize the dynamic state of congestion in specific city locations. The contribution of this research is the development of a model that characterizes the level of congestion based on the proximity of city services and traffic events. The proposed mathematical model provides a valuable tool for effectively addressing and mitigating congestion and also enables informed decision making and proactive actions to improve urban mobility.
ISSN:0361-7688
1608-3261
DOI:10.1134/S0361768824700646
Lähde:Advanced Technologies & Aerospace Database