Saturation flow rate estimation under rainy weather conditions for on-line traffic control purpose

Shin, Chi-Hyun; Choi, Keechoo

doi:10.1007/bf02830476

Cited by 7 publications

(5 citation statements)

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“…The results showed that the saturation flow rate in the winter season, depending on the road characteristics, was reduced from 11 to 15% (BLA 1995). Researches carried out in Seoul, South Korea, showed that the reduction of saturation flow rate under the rain impact ranges from 4 to 13% (Shin, Choi 1998). In that case the rain intensity was not considered.…”

Section: Literature Reviewmentioning

confidence: 99%

“…When it comes to determination of the particular vehicle in the queue, from which the analysis of headways should start, different methodologies can be found in the literature. Perrin et al (2001) stated several different examples: in Highway Capacity Manual (2000) the recommendation is to start headways analysis after the fourth vehicle, Korean Highway Capacity Manual recommend after the sixth vehicle and some authors recommend after the third vehicle (Shin, Choi 1998). None of the above-mentioned methodology does not considered the first few vehicles in the queue.…”

Section: Determination Of Representative Headways For Saturation Flowmentioning

confidence: 99%

“…In each of the previously mentioned methodologies (Highway Capacity Manual 2000;Shin, Choi 1998), for determining the saturation flow rate, the main criterion was to establish the average value of the headway, for part of vehicles, which reflects relatively uniform queue discharge. Mann-Whitney U test, by identifying the first and the last vehicle of relevant set of vehicles, complements that criterion.…”

Section: Determination Of Representative Headways For Saturation Flowmentioning

confidence: 99%

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Sensitivity of street network capacity under the rain impact: case study of Belgrade

Ivanović

Jovic

2017

Transport

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It is generally know that adverse weather conditions cause changes in urban transportation system. Research of weather impact on the urban transportation system was additionally intensified by actualisation of climate changes problem. In urban area, precipitation may reduce the efficiency of transportation systems, since it often results in larger travel times and higher congestion levels in street networks. Therefore, it is important to examine the impact of precipitation on the urban street capacity. In accordance with climate characteristics of research area, the focus of this paper was on the rain impact. Impact of rain was analysed only in the context of transport supply, and not of transport demand. Sensitivity of the street network capacity was chosen to represent transportation system supply. It was analysed through the changes in saturation flow rate under the rain. Results of the research have shown significant sensitivity of street network capacity on the rain impact. Moreover, the rain impact was quantified by the capacity sensitivity coefficients, which were implemented in procedure of capacity calculation.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Determination Of Representative Headways For Saturation Flowmentioning

confidence: 99%

Section: Determination Of Representative Headways For Saturation Flowmentioning

confidence: 99%

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Sensitivity of street network capacity under the rain impact: case study of Belgrade

Ivanović

Jovic

2017

Transport

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“…Rezultati istraživanja promene vrednosti zasiće-nog toka pod uticajem kiše, na dve raskrsnice u Seulu (Koreja), pokazali su da se smanjenje vrednosti zasićenog saobraćajnog toka kreće od 4 do 13% [23]. Kao TEHNIKA -SAOBRAĆAJ 64 (2017) 2 jedan od zaključaka, autori navode neophodnost prilagođavanja signalnih planova nepovoljnim vremenskim prilikama, odnosno u konkretnom slučaju kiši, kroz implementaciju promene vrednosti zasićenog saobraćajnog toka u algoritmu upravljanja saobraćajem na raskrsnici.…”

Section: Uticaj Nepovoljnih Vremenskihunclassified

Adverse weather impact on infrastructural aspect of transportation system supply

Ivanovic¹,

Jovic²,

Djoric³

2017

Tehnika

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“…Shin and Choi investigated time headways to compare saturation flow between dry and rainy weather condition in South Korea (7 ). A significant reduction as a result of heavy rain was shown, although…”

Section: Saturation Flowmentioning

confidence: 99%

Saturation flow under Adverse Weather Conditions

Asamer

Zuylen

2011

Transportation Research Record: Journal of the Transportation R

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In the modeling of signalized intersections, one parameter is of crucial importance: the saturation flow rate. This value defines the number of vehicles that pass an intersection within 1 h of effective green time per lane. In this study, changes in the saturation flow were investigated under adverse weather conditions, such as precipitation or snow that covered the road surface. Data were obtained from video recordings, and a timestamp was recorded for each vehicle as its rear axle crossed the intersection. Subsequently, all observations were aggregated to a longer time interval. These measurements were then used to train a model by minimizing the squared error between model output and observation. The advantages of the model were the incorporation of various vehicle classes and the consideration of driving behavior at the beginning and the end of the green phase (start and end lags). These parameters were investigated under various weather conditions and showed that the saturation flow rate was significantly influenced by snow on the road surface. To improve traffic models, it is thus important to consider the dependence of the saturation flow rate on the weather. To adjust the saturation flow, adjustments in certain other parameters influenced by prevailing weather conditions were investigated in a microscopic traffic simulation.

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Saturation flow rate estimation under rainy weather conditions for on-line traffic control purpose

Cited by 7 publications

References 0 publications

Sensitivity of street network capacity under the rain impact: case study of Belgrade

Sensitivity of street network capacity under the rain impact: case study of Belgrade

Adverse weather impact on infrastructural aspect of transportation system supply

Saturation flow under Adverse Weather Conditions

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