Impact of Roadside Friction on Travel Speed and LOS of Rural Highways in India

Pal, Sudipta Basu; Roy, Sudip

doi:10.1007/s40890-016-0011-z

Cited by 16 publications

(17 citation statements)

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“…For example, road segments with schools and wet markets tend to have a higher roadside friction. The speed-flow curve illustrated in Figure 4 was adopted for this case study, with reference to the paper of Pal and Roy [49]. A regression equation was fitted to the speed-flow curve shown on Figure 4.…”

Section: Data Collection For the Illustrative Case Studymentioning

confidence: 99%

Modeling Traffic Flow, Energy Use, and Emissions Using Google Maps and Google Street View: The Case of EDSA, Philippines

2021

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The general framework of the bottom-up approach for modeling mobile emissions and energy use involves the following major components: (1) quantifying traffic flow and (2) calculating emission and energy consumption factors. In most cases, researchers deal with complex and arduous tasks, especially when conducting actual surveys in order to calculate traffic flow. In this regard, the authors are introducing a novel method in estimating mobile emissions and energy use from road traffic flow utilizing crowdsourced data from Google Maps. The method was applied on a major highway in the Philippines commonly known as EDSA. Results showed that a total of 370,855 vehicles traveled along EDSA on average per day in June 2019. In comparison to a government survey, only an 8.63% error was found with respect to the total vehicle count. However, the approximation error can be further reduced to 4.63% if cars and utility vehicles are combined into one vehicle category. The study concludes by providing the limitations and opportunities for future work of the proposed methodology.

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Section: Data Collection For the Illustrative Case Studymentioning

confidence: 99%

Modeling Traffic Flow, Energy Use, and Emissions Using Google Maps and Google Street View: The Case of EDSA, Philippines

2021

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“…The second group falls in development of speed-density and speed-flow curves for with and without side friction cases. Traffic flow models like Greenshields, Greenberg, etc., were fitted, using which capacity and LOS reduction due to side friction were calculated [10][11][12][13][14]. Since the focus of the present study is on relating friction parameters with the speed through regression analysis, the studies on the same were reviewed below.…”

Section: Introductionmentioning

confidence: 99%

Dealing with Multicollinearity Problem in Analysis of Side Friction Characteristics Under Urban Heterogeneous Traffic Conditions

Singh

Kumar

2021

Arab J Sci Eng

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Disturbance to the moving traffic, such as on-street parking and bus stop on carriageway normally called as side friction in the literature, is one of the major problems that impact the vehicular speed on urban arterials in developing countries like India. Regression model to study the mode-wise vehicular speeds using side friction and other influencing variables faces the problem of multicollinearity as there is a strong correlation between the independent variables which results in high R2 and high p values. Instead of dropping the highly correlated variables which is the conventional practice to deal with multicollinearity, we proposed an approach of taking a linear combination and ratio of independent variables. To test the applicability of the proposed approach, traffic data from five locations in Hyderabad and Vellore in India having a wide variety of geometric and traffic characteristics with one or more side frictions were collected and regression models were built. It was found that the proposed approach of taking linear combination and ratio worked very well as the models exhibited a high R2, low p values and low variance inflation factor. The regression models also forecast speeds with good and reasonable accuracy. For better understanding of the impact of side friction, the present study proposed an index called side friction index and it was found that the number of side friction elements and their impact are directly proportional. Also, the impact is not uniform across the different vehicle types. Though the present study focussed on side friction problem, the approach that we proposed in this paper to deal with multicollinearity can be applied in other fields as well.

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“…Roadside friction (RSF) elements have become a serious factor causing congestion and poor traffic operation in urban and rural road networks in developing countries (Salini et al, 2014;Harison et al, 2016;Pal and Roy, 2016). Many urban roads in developing countries cities have a low level of service (LOS) and hence poor performance due to some activities that take place on and alongside roads (Rao et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Harison et al (2016) observed that one of the factors affecting traffic mobility is roadside friction (RSF). (Pal and Roy, 2016) found that pedestrians moving randomly across the carriageway affect traffic operation even if traffic volume is low. Road designers often assume that pedestrians cross roadways at designated pedestrian crossings, which include intersection crosswalks.…”

Section: Introductionmentioning

confidence: 99%

“…In concluding their study, Obiri-Yeboah et al (2019) proposed additional lanes on the studied roads. However, Pal and Roy (2016) noted that measures taken to improve road geometry have not been successful in enhancing the LOS in some countries like India. Hidayati et al (2012) categorized roadside friction into five classes: Very low (<100 per hour), Low (100-299 per hour), Medium (300-499 per hour), High (500-900 per hour) and Very High (>900 per hour).…”

Section: Introductionmentioning

confidence: 99%

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Ffects of Roadside Friction Elements on Travel Performance and Level of Service in Kigali

2020

IJTTE

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Providing efficient mobility is the cornerstone of the socioeconomic development, however, the performance of the road transport systems in the developing countries' cities has been reduced and affected continuously due to the increase in road users both motorized and non-motorized and roadside friction elements. Recent researches revealed that efficiency in urban transport is affected by different factors associated with roadside activities. In most developing countries, cities, including Kigali City, a proliferation of roadside friction elements affect travel performance measures in the locations where these elements occur. This study attempts to analyze the effect of dynamic roadside friction factors on traffic performance measures such as speed and level of service using data collected from Kigali urban roads. Data collected included spot speed data, road condition data, traffic, and roadside elements data. All data were collected in the field over six road-stretches covering different functional classes of roads in Kigali City. Key roadside friction (RSF) elements that affect traffic performance were selected based on ANOVA results and a sensitivity analysis was carried out to quantify the impact of roadside friction factors on speed and level of service. Moreover, relationships of speed, density, and flow were developed taking into account typical dynamic roadside friction elements. Overall, it was found that roadside friction factors affect travel performance in the locations where they occur and their effects are not only on two-lane roads but also on four-lane roads. The models developed in this study take into consideration roadside friction factors, and therefore they can be used to predict operating mean vehicle speed and density. To minimize the effects of roadside friction factors on traffic performance, the research-based information and findings from this study can be used in setting out guidelines while imposing some restrictions to eradicate an occurrence and the proliferation of roadside friction elements.

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Impact of Roadside Friction on Travel Speed and LOS of Rural Highways in India

Cited by 16 publications

References 1 publication

Modeling Traffic Flow, Energy Use, and Emissions Using Google Maps and Google Street View: The Case of EDSA, Philippines

Modeling Traffic Flow, Energy Use, and Emissions Using Google Maps and Google Street View: The Case of EDSA, Philippines

Dealing with Multicollinearity Problem in Analysis of Side Friction Characteristics Under Urban Heterogeneous Traffic Conditions

Ffects of Roadside Friction Elements on Travel Performance and Level of Service in Kigali

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