Defining Level of Service Criteria of Urban Streets Using Neural Gas Clustering

Das, Amit Kumar

doi:10.9790/3021-03531825

Cited by 7 publications

(5 citation statements)

References 7 publications

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“…The study also suggested that selection of an appropriate method of PCU estimation can significantly improve the accuracy of delay calculations. (Das et al, 2013) conducted a st udy for defining LOS categories for highly heterogeneous traffic condition for urban streets using Neural Gas clustering technique and confirmed that the free f low speed ranges for different urban street classes and speed ranges for different LOS categories were found to be lower than that suggested by (HCM, 2010).…”

Section: Literature Reviewmentioning

confidence: 61%

Development of Delay Models Using Simulation in a Heterogeneous Traffic Condition

Alex¹,

Isaac²

2017

IJTTE

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Abstract:The behaviour of traffic system in a heterogeneous traffic condition is entirely different from that of a homogeneous condition. The awareness of the influence of heterogeneity in a road network is essential for the planners and designers of the transportation system. Vehicle delay is perhaps the most important parameter used by transportation professionals to measure the performance of signalised intersections. In a mixed traffic condition, the vehicle delays are influenced by many traffic stream characteristics, taking into consideration of vehicular as well as traffic characteristics. The paper highlights the need for developing the delay models under various vehicular interactions for mixed traffic conditions prevalent in India. Experiments were carried out using the micro simulation model, TRAFFICSIM, which was developed for signalised intersections by the authors and reported elsewhere. As an application of the model TRAFFICSIM, the effect of traffic composition on delay is estimated. Considering both the delay and the flow ratio, the concept of Level of Service at signalised intersection in a mixed traffic condition, is mentioned in the paper. Influence of the proportion of buses and three wheelers in the determination of LOS are also presented.

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Section: Literature Reviewmentioning

confidence: 61%

Development of Delay Models Using Simulation in a Heterogeneous Traffic Condition

Alex¹,

Isaac²

2017

IJTTE

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“…Defining LOS criteria is a classification problem, and from the literature it was determined that cluster analysis is the most suitable technique for solving this kind of problem (Bhuyan and Rao 2010, Mohapatra et al 2012, Das andBhuyan 2014). Fuzzy C-Means clustering (FCM), developed by Dunn in 1973 and improved by Bezdek in 1981, is a cluster analysis method derived from fuzzy logic (Bezdek et al 1984) that allows a dataset to be grouped into C clusters, with every data point in the dataset belonging to every cluster to a certain degree, which makes the cluster result of FCM closer to reality (Bezdek et al 1984).…”

Section: Theoretical Methods For Los Criteriamentioning

confidence: 99%

“…Bhuyan and Rao (2010), Mohapatra et al (2012), Das and Bhuyan (2014) addressed LOS criteria for highly heterogeneous traffic flow on urban streets in India using a clustering algorithm and found that speed thresholds for LOS criteria in India are lower than those mentioned in HCM. Historically, HCM has used a single performance measure as the basis for defining LOS.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of Level-of-Service Criteria based on a Single Measure for BRT in China

Huo¹,

Zhao²,

Zhang³

et al. 2015

JPT

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“…Improved transportation infrastructure and accessibility can improve basic community services in improving the quality of life. The need for an efficient, effective transportation system and delivery time that is following the schedule is the purpose of transportation planning in the logistics system [8][9][10].…”

Section: Preliminarymentioning

confidence: 99%

Analysis Of Satisfaction and Priority Levels of Jaya Makmur Road Development in Supporting Kurik District as A Rice Surplus Area

et al. 2021

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Merauke Regency as a national food place is anticipated to create 5.2 million tons of rice each year, identical to 5.41 percent of public rice creation in Indonesian and 88.92 percent of all Papua region. Kurik District is in the second position in Merauke Regency as the largest rice surplus area with a productivity of 47,376.15 tons or equivalent with 27.41 percent. The inadequate condition of road infrastructure resulted uneasy mobility in agriculture between regions. Finding the level of satisfaction between road performance and community expectations of road construction can be done using the Importance Performance Analysis (IPA) method. Meanwhile, the method used in determining road development priorities is the Analytical Hierarchy Process (AHP). The results of the level of road satisfaction found a gap between road performance and community expectations, namely the need for performance development (quadrant I). While the hierarchical process obtained the priority for the development of the Jaya Makmur Village road is Main Road in Jaya Makmur Village with an eigenvector value of 2.73. This is because Main Road in Jaya Makmur is the main road of Jaya Makmur Village with a condition of 53.19 percent of which is a road with ground level.

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Defining Level of Service Criteria of Urban Streets Using Neural Gas Clustering

Cited by 7 publications

References 7 publications

Development of Delay Models Using Simulation in a Heterogeneous Traffic Condition

Development of Delay Models Using Simulation in a Heterogeneous Traffic Condition

Development of Level-of-Service Criteria based on a Single Measure for BRT in China

Analysis Of Satisfaction and Priority Levels of Jaya Makmur Road Development in Supporting Kurik District as A Rice Surplus Area

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