Methods for Defining Spatiotemporal Influence Areas and Secondary Incident Detection in Freeways

Autor:	Maria-Ioanna M. Imprialou, Foteini P. Orfanou, Eleni I. Vlahogianni, Matthew G. Karlaftis
Rok vydání:	2014
Předmět:	Engineering Injury control Accident prevention business.industry Poison control Transportation computer.software_genre Transport engineering Traffic conditions Upstream (networking) Data mining Spatial extent business computer Civil and Structural Engineering
Zdroj:	Journal of Transportation Engineering. 140:70-80
ISSN:	1943-5436 0733-947X
DOI:	10.1061/(asce)te.1943-5436.0000612
Popis:	The likelihood of the occurrence of secondary incidents is usually linked to primary incidents by using predefined spatial and temporal criteria. This paper extends past research on secondary incident detection by defining the dynamic thresholds of the influence area of a primary incident, using detailed freeway traffic data from upstream loop detectors. The dynamic thresholds are defined by using both analytical and empirical approaches. Results that use analytical approaches to track the spatiotemporal boundaries of the influence upstream of a primary incident offer influence curves of different characteristics (influence duration and maximum spatial extent) with respect to the prevailing traffic conditions. To accurately detect secondary incidents, an empirical method based on spatiotemporal speed evolution is applied that imprints influence areas with respect to their dissipation patterns. The results of the proposed approach are compared to those of five commonly used static and dynamic methods for detecting secondary incidents. Their differences are identified and discussed. Language: en
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7e4ad5fb6ce5627e70658f86d5f45a6c https://doi.org/10.1061/(asce)te.1943-5436.0000612 Zobrazit plný text záznamu Plný text ve formátu PDF