Evaluation or proneness to red Iight running behavior, because the results from human road factors, can aid in a proper selection of the sites to be treated and thereby increased the benefit or countermeasure to reduce the red Iight running (RLR) phenomenon. Starting from the conceptual framework or a model based on potential conflict analysis, this paper shows a quantitative evaluation of proneness to red light running behavior can be obtained (from both the analysis or the effettive operational characteristic or the Intersection and the actual number or RLR violation. According to behavioral models referred to the Literature, which emphasize the influence both human and road factors have on the user 's decision-making process at red lights, the proposed approach also account for the impact of the' loeal (sile) aod generai (population) characteristics the phenomenon. Field observations for a case study in an urban area discussed to illustrate the methodological approach. Results obtained clearly show the sensitivity· of the parameter assumed for describing proneness to red light violation to the operational characteristics of the intersections .Moreover they underline thal the common violation rates could cause Improper evaluation of the extent of the RLR phenomenon at a specific intersection

Evaluation of proneness to red light violation. A quantitative approach

GIUFFRE', TULLIO
Methodology
;
2006

Abstract

Evaluation or proneness to red Iight running behavior, because the results from human road factors, can aid in a proper selection of the sites to be treated and thereby increased the benefit or countermeasure to reduce the red Iight running (RLR) phenomenon. Starting from the conceptual framework or a model based on potential conflict analysis, this paper shows a quantitative evaluation of proneness to red light running behavior can be obtained (from both the analysis or the effettive operational characteristic or the Intersection and the actual number or RLR violation. According to behavioral models referred to the Literature, which emphasize the influence both human and road factors have on the user 's decision-making process at red lights, the proposed approach also account for the impact of the' loeal (sile) aod generai (population) characteristics the phenomenon. Field observations for a case study in an urban area discussed to illustrate the methodological approach. Results obtained clearly show the sensitivity· of the parameter assumed for describing proneness to red light violation to the operational characteristics of the intersections .Moreover they underline thal the common violation rates could cause Improper evaluation of the extent of the RLR phenomenon at a specific intersection
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11387/7261
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