Some issues regarding the numerical value of freeway capacity

2021 ◽  
pp. 1-16
Author(s):  
Kwaku Agyemang-Duah ◽  
Fred L. Hall
Keyword(s):  
Author(s):  
Justin Geistefeldt ◽  
Siavash Shojaat

The randomness of freeway capacity has been analyzed in a large number of studies. In contrast, relatively little attention has been paid to the critical density at capacity and its relationship to breakdown occurrence, although density is used as a quality of service criterion for freeways. In the paper, distributions of freeway capacity and critical density are estimated and compared based on traffic data samples from 38 freeway bottleneck sections in the U.S. and Germany. It is shown that the well-established methods for stochastic capacity analysis can be applied to estimate critical density distributions by replacing volume with density in the corresponding mathematical models. Comparison of the estimated capacity and critical density distribution functions reveals that the relative variability of the capacity is lower than the variability of the critical density. This suggests that traffic volume is the more appropriate parameter to represent the trigger of traffic breakdowns than traffic density. The empirical results also show that the rather smooth traffic flow on U.S. freeways leads to a smaller variance of both the capacity and the critical density distribution compared with German freeways, whereas the average capacity per lane is roughly the same.


2019 ◽  
Vol 145 (5) ◽  
pp. 04019016 ◽  
Author(s):  
Seiran Heshami ◽  
Lina Kattan ◽  
Zhengyi Gong ◽  
Soheila Aalami

2020 ◽  
Author(s):  
Brian L. Smith ◽  
Kristi G. Byrne ◽  
Rachel B. Copperman ◽  
Susan M. Hennessy ◽  
Noah Goodall

The purpose of this research effort was to investigate the impact of rainfall, at varying levels of intensity, on freeway capacity and operating speeds. Findings were derived from traffic and weather data collected in the Hampton Roads region of Virginia. Light rain (0.01 to 0.25 inches per hour) decreases freeway capacity by 4 to 10 percent. Heavy rain (0.25 inches per hour or greater) decreases freeway capacity by 25 to 30 percent. The presence of rain, regardless of intensity, results in approximately a 3 to 5 percent average decrease in operating speed. The findings indicated that the impact of rain is more significant than currently reported in the Highway Capacity Manual.


2018 ◽  
Vol 175 ◽  
pp. 03023
Author(s):  
Shengwen Tu ◽  
Junjie Chen ◽  
Yao Zhang

An analysis method on network capacity of belt freeway based on road network reserve capacity is put forward in this paper. Through the introduction of multiple multiplier, the method can simply analyse the maximum traffic volume contained by belt freeway in the conditions of a given network basic demand and meeting the constraints of road traffic capacity and service level. In comparison to the traditional method, the proposed method takes into consideration actual network structure, OD flow distribution, the traveller choosing the way, etc. Additionally, the analysis conclusion is more consistent with the actual situation. Analysis results of belt freeway capacity of Yancheng city in China show that the presented method is not only simple and practical, but also can objectively reflect the status of the belt freeway capacity, and provide a basis for decision-making of belt freeway expansion and urban expressway construction.


2010 ◽  
Vol 37 (1) ◽  
pp. 77-87 ◽  
Author(s):  
Shy Bassan ◽  
Abishai Polus

The flow on urban and suburban freeways is characterized typically by high densities, occupancies, and frequent breakdowns, particularly when the volume approaches capacity. This creates unstable flow conditions, resulting in recurrent as well as random congestion. The purpose of this study was twofold: (1) to develop models for evaluating flow characteristics on a busy suburban freeway, specifically speed versus flow and flow versus occupancy; (2) to understand the meaning of capacity by evaluating the actual capacity of a freeway section. The data were collected on Highway 1 in Israel and on Interstate 66 in Virginia, USA. Previous observations showed that both freeways operated at a saturated-flow condition almost daily and that breakdowns of the stream occurred often, though not daily. The paper presents a concept that suggests that freeway capacity is an actual-site specific term. This capacity can change frequently in space and time, depending on the section geometry, the time interval, the prevailing traffic and environmental conditions, and driving behavior. Determination of a representative value of actual capacity for level-of-service or planning analyses is suggested, based on one of three methods: parabolic curve-fitting for free-flow, dense congested stable (DCS) flow, and breakdown-flow data; the intersection of the best-fit stable-flow parabola and the equal-density adjusted line; and curve fitting of one-regime models to flow-occupancy data. Also included is a comparison with the 2000 Highway capacity manual (HCM) models and with capacity estimates from other studies. The results showed similar values of actual capacity estimates for the three methods.


2009 ◽  
Vol 135 (7) ◽  
pp. 416-426 ◽  
Author(s):  
Jiyoun Yeon ◽  
Sarah Hernandez ◽  
Lily Elefteriadou

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