Influence of Operating Speed on Capacity of Urban Arterial Midblock Sections

Dhamaniya, Ashish; Chandra, Satish

doi:10.1007/s40999-017-0206-7

Cited by 22 publications

(4 citation statements)

References 10 publications

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“…It is hard to measure traffic density on-site, in the field. Therefore, density (K=vehicles/observed distance) can be derived from the ratio between the number of vehicles (n = vehicles/time interval) and speed (V=observed distance/time interval) [22]. Based on this, a relationship between speed and density was made for 5-minute intervals from 7.30 -10.30 a.m. Bali's local time is shown in Figure 1.…”

Section: Survey Resultsmentioning

confidence: 99%

The Influence of Side Friction on Speed-Mixed Flow Behavior on Arterial Roads in Tourism Area in Bali

Wedagama¹,

Suweda²,

Astariyani³

2022

cea

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The arterial roads in tourism areas show a lack of control over activities that occur on the arterial roadsides. This study constructs a speed-flow behavior model to analyze the influence of side friction events under mixed traffic flows on arterial road performances in Bali. This event is dominated by the entry and exit of vehicles from road access points. The study results show that in friction conditions, the speed of the motorcycle is significantly affected by the presence and speed of other motorcycles and light vehicles, but in base conditions, it is significantly affected by the presence and speed of all types of vehicles. Meanwhile, the speed of light vehicles is significantly influenced by the presence and speed of motorcycles and other light vehicles. A further study is required to analyze the influence of motorized vehicles on the selection of heavy vehicle speed on arterial roads. Due to side frictions, a decrease in road capacity (pcu/hour) was found between 14.37% and 26.60% while a decrease in speed was between 13.79% and 76.19%. These show a significant side friction problem on arterial roads in tourism areas. The road control policy, particularly on roadside access is needed for these arterial roads.

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Section: Survey Resultsmentioning

confidence: 99%

The Influence of Side Friction on Speed-Mixed Flow Behavior on Arterial Roads in Tourism Area in Bali

Wedagama¹,

Suweda²,

Astariyani³

2022

cea

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show abstract

“…rather than link information, it is challenging to use them to cluster similar links. Conversely, the number of lanes and speed limit affect the capacity of the construction section network [43,44] since network capacity is related to the traffic speed [45]. erefore, similar links were classified as k-means clustering input variables using the number of lanes and speed limit.…”

Section: Cluster Analysismentioning

confidence: 99%

Applying Clustered KNN Algorithm for Short-Term Travel Speed Prediction and Reduced Speed Detection on Urban Arterial Road Work Zones

Park

Kwon

et al. 2022

Journal of Advanced Transportation

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This study developed and verified a travel speed prediction model based on the travel speed and work zone statistics collected from the advanced traffic management system (ATMS) real-time data in Daegu, South Korea. A clustered K-nearest neighbors (CKNN) algorithm was used to predict travel speed, resulting in a 6.9% average mean absolute percentage error (MAPE) using the data from 1,815 work zones. Furthermore, road network impact due to road work was calculated by comparing the travel speed prediction results obtained from the historical speed data. The predicted travel speed data in a work zone generated from this study is expected to allow drivers to select optimized paths and use them for traffic management strategies to operate in a work zone efficiently.

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“…The developed method is applied for a 6-lane divided urban street which has a Greenshield's boundaries as follows (Dhamaniya et al, 2017): v free = 60.18 (km/hr), k j = 403.89 (PCE/km), and capacity of 6075 (PCE/ hr/direction) with a lane capacity of 2025 (PCE/hr/lane). Each experiment has been performed for different values of f(10, 20, 30, and 40 (manoeuvre/hr)).…”

Section: Application Of the Pce Model On A Case Studymentioning

confidence: 99%

Estimate Passenger Car Equivalent of Vehicles Performing Manoeuvre to Enter or Leave Legal and Illegal on-Street Parking

Elkafoury¹,

El-Naga²

2020

IJTTE

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For transportation and traffic designers, the existence of a method to convert effective vehicles into reference Passenger Car Equivalent (PCE) is an essence. Both legal and illegal on-street parking events are associated with manoeuvre during entering or leaving the parking spot. This manoeuvre is highly affecting the traffic performance of the street link. This paper introduces a method for determining the Passenger Car Equivalent (PCE) for vehicles that perform a manoeuvre for on-street parking. The M/M/∞ queuing model together with the Greenshield traffic state model are used to estimate the effect of the delay and the capacity drop caused by a manoeuvring event on the traffic flow continuity in case of entering or leaving a legal and illegal on-street parking space. Two design charts are introduced to show the values of the average passenger car equivalent for different manoeuvre times and manoeuvring frequencies combinations for both legal and illegal parking types. PCE values of vehicles manoeuvre for legal parking experience fluctuation throughout the link's volume to capacity (D-C) ranges. It is found that, for lower D-C ratios and up to D-C of about 0.33, PCE of vehicles manoeuvre for legal parking types shows a slight upward trend. The smallest PCE of vehicles manoeuvre for legal parking is noticed at D-C of nearly 0.41. Then, the increase of D-C is accompanied with an increase of PCE supported by the increase of the link's average travel time. During manoeuvring for illegal on-street parking, the section loses one more lane capacity for the duration of the manoeuvre. Thus, the traffic demand outrace the capacity at D-C of about 0.69 which is earlier than the case of legal parking which influences the PCE value. Sensitivity analysis indicated that the time of the manoeuvring event is the major cause of uncertainty in the predicted PCE of a parking manoeuvring vehicle.

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Influence of Operating Speed on Capacity of Urban Arterial Midblock Sections

Cited by 22 publications

References 10 publications

The Influence of Side Friction on Speed-Mixed Flow Behavior on Arterial Roads in Tourism Area in Bali

The Influence of Side Friction on Speed-Mixed Flow Behavior on Arterial Roads in Tourism Area in Bali

Applying Clustered KNN Algorithm for Short-Term Travel Speed Prediction and Reduced Speed Detection on Urban Arterial Road Work Zones

Estimate Passenger Car Equivalent of Vehicles Performing Manoeuvre to Enter or Leave Legal and Illegal on-Street Parking

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