Modeling Congestion on Urban Roads and Assessing Level of Service

Maitra, Bhargab; Sikdar, P K; Dhingra, S. L.

doi:10.1061/(asce)0733-947x(1999)125:6(508)

Cited by 63 publications

(23 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…While majority of studies regarding congestion are based on highways, quantification of congestion on urban roads has been attempted by several researchers [8][9][10][11]. Since, the loss in freedom of movement can be measured as the area under the speed-flow envelope (between the freeflow operation and the actual operating condition), the congestion can be quantified as the percentage loss in freedom of movement under prevailing roadway, traffic, and control conditions [12]. Fig.…”

Section: Quantification Of Congestionmentioning

confidence: 99%

See 1 more Smart Citation

Congestion Characteristics of Interrupted Flow for Urban Roads with Heterogeneous Traffic Structure

Sharma

Swami

2016

MATEC Web Conf.

View full text Add to dashboard Cite

Abstract. Traffic congestion is a severe trepidation to transportation engineers for its unrestrained growth and consequential losses. This paper presents congestion models and speed-flow analysis for urban roads with interrupted flow comprising of heterogeneous structure of traffic. Models have been developed for heterogeneous traffic under constraints of roadway geometry, vehicle characteristics, driving behaviour and traffic controls. The growth of congestion with flow in unsaturated and oversaturated states of flow has been analysed and quantified. The congestion model developed in this paper shows that there exist different regions of congestion-flow behaviour that can be characterized by different rate of change of congestion and the severity of congestion becomes tremendous for oversaturated flows. Different levels of service have been proposed to define operating conditions using more realistic parameter 'congestion'.

show abstract

Section: Quantification Of Congestionmentioning

confidence: 99%

“…Fig. 1 (a) and 1 (b) represents quantification of congestion proposed by [12]. Although, the worst operating condition represented by point D (Figure 1a) normally be defined as 100% congestion; the behaviour of midblock traffic is seldom observed in the range BD (the lower portion of speed-flow envelope).…”

Section: Quantification Of Congestionmentioning

confidence: 99%

Congestion Characteristics of Interrupted Flow for Urban Roads with Heterogeneous Traffic Structure

Sharma

Swami

2016

MATEC Web Conf.

View full text Add to dashboard Cite

show abstract

“…Congestion was considered as a service measure for assessing LoS on midblock sections of urban roads in India by Maitra et al [4]. The line of reasoning adopted for doing so was that while the volume-related characteristics such as traffic volume and roadway capacity can be considered as the causative factors behind congestion, the operational factors of a traffic stream such as delay and lower operating speeds were the net effects of congestion.…”

Section: Los With Congestion As Service Measurementioning

confidence: 99%

“…Eventually, congestion (CG V ) was defined as the percentage loss in freedom of movement under the prevailing LoS by volume-to-capacity (V/C) ratio roadway, traffic, and control conditions [4]. Based on the above definitions, the congestion was quantified to be 0 % at free-flow and 100 % at near-capacity flow conditions.…”

Section: Los With Congestion As Service Measurementioning

confidence: 99%

“…Considering the fact that the operating conditions tend to degrade non-uniformly with the increasing congestion and thus in order to represent the variation of LoS based on traffic congestion in a comprehensive manner, ten different LoS categories were proposed. These included congestion levels of 5, 10, 20, 30, 40, 50, 60, 80, and 100 % thereby defining nine LoS (A-I) within the stable flow zone and one LoS (J) with congestion more than 100 %, indicating unstable (forced) flow [4]. The models were applied for four, six and eight-lane divided urban carriageways in the city of Mumbai and it was found that the models exhibited overall good goodness-of-fit coupled with low mean absolute error values when estimated and observed stream speeds were compared.…”

Section: Los With Congestion As Service Measurementioning

confidence: 99%

See 1 more Smart Citation

Selection of a Suitable Service Measure and Determination of LOS Criteria for Indian Multilane Interurban Highways: A Methodological Review

Arun

Errampalli

Velmurugan

2016

Transp. in Dev. Econ.

View full text Add to dashboard Cite

Any transport facility is essentially a service being provided to the society. Therefore, it is expected of the traffic engineers, transport planners and policy-makers alike to be able to understand and evaluate the quality of service that is being provided by the transport facilities designed by them. The level-of-service (LoS) concept was devised in the US Highway Capacity Manual (US-HCM) precisely for the above consideration. However, direct implementation of the US-HCM methods in India is not possible because of the heterogeneous traffic conditions and vastly unique driver behavior found on Indian highways. Therefore, it becomes imperative to evaluate other competing methodologies that may be more appropriate in defining the LoS being offered to the road users by Indian highways in general and multilane interurban highways in particular. Towards this end, this paper reviews in detail the LoS estimation methodologies that have been demonstrated to be suitable for application in traffic scenarios characterized by high heterogeneity and lane indiscipline. Also, based on an exhaustive review of the literature, the study recommends that three to five categories of LoS in the stable-flow region may be explored for practical application in the Indian scenario as part of the ongoing research on development of an Indian Highway Capacity Manual.

show abstract