Evaluation of Perception and Nonperception based Approaches for Modeling Urban Road Level of Service

Raj, Jithin; Vedagiri, P.

doi:10.1007/s40030-021-00602-4

Cited by 6 publications

(6 citation statements)

References 15 publications

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“…And when choosing a destination, they usually prefer to choose a place with high accessibility. Therefore, the improvement of transportation infrastructure can promote the development of tourist cities, increase a certain amount of tourism income, and also produce a typical spatial spillover effect [19].…”

Section: The Action Path Of Transportation Infrastructure Onmentioning

confidence: 99%

Evaluation of Social and Economic Benefit of Urban Rail Transit Project Based on Spatial Econometric Model

Sanbao

2022

Wireless Communications and Mobile Computing

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The social and economic benefits of urban rail transit projects based on spatial econometric model are evaluated. A spatial econometric model is established to evaluate the social and economic benefits of rail transit projects in different cities in China. From 2007 to 2019, the growth rate of GDP in the eastern, central, and western regions as well as the whole country showed a downward trend. The growth rate was at a relatively high level in 2007 and 2008. It dropped sharply to below 10% in 2009 and again to 10-15% in 2012. The growth rate of eastern and central China and the whole country was basically maintained between 5% and 12%. The development of urban rail transit projects was positively correlated with social and economic benefits. Therefore, it is necessary to take into account all the influencing factors and strengthen the development of urban rail transit projects to promote the growth of social and economic benefits.

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Section: The Action Path Of Transportation Infrastructure Onmentioning

confidence: 99%

Evaluation of Social and Economic Benefit of Urban Rail Transit Project Based on Spatial Econometric Model

Sanbao

2022

Wireless Communications and Mobile Computing

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“…The existing works [1,2,3,4] have detected vehicles on roads as part of the capacity measurement of the roads. Otherwise, the LOS computation was done manually [5,6,7,8]. Hence, there is a gap in the computation of the average speed and volume of the vehicles to automatically compute the LOS of the road.…”

Section: Related Workmentioning

confidence: 99%

“…However, the Level of Service (LOS) computation from the detection is not automated. The existing works [5,6,7,8] carry out the LOS computation manually. Further, the existing models on pothole detection [9,10,11] are used to detect the presence of potholes on roads using classification methods independent of the road conditions, such as highways and muddy roads.…”

Section: Introductionmentioning

confidence: 99%

A Novel Technology Stack for Automated Road Quality Assessment Framework using Deep Learning Techniques

Balasundaram,

Pradeep Ganesh,

Pravinkrishnan K

et al. 2024

EMITTER Int'l J. of Engin. Technol.

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Road infrastructure plays a pivotal role in supporting societal, economic, and cultural progress. The capacity of a road refers to its ability to handle vehicular volume. Inadequate road capacity and the presence of defects like potholes and cracks result in suboptimal travel conditions and pose significant safety risks for drivers, cyclists, and pedestrians. The regular evaluation of these road quality aspects is essential for effective maintenance. However, current methods for assessing road capacity are time-consuming, subjective, and heavily reliant on manual labor. Moreover, existing deep learning-based approaches for detecting road defects often lack accuracy. To overcome these challenges, a fully automated and accurate system for evaluating road quality is imperative. Thus, the objective of this research work is to propose a novel technology stack for a comprehensive Automated Road Quality Assessment (ARQA) framework designed to assess road quality. The experimental findings demonstrate that the suggested vehicle detection and pothole detection methods work effectively and exhibit enhancements of 18% and 6%, respectively, in comparison to existing approaches.

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“…So the influence of platoons on the urban street operation is very likely to be negligible when segment length exceeds 2 miles (≈3.2 km). However, studies have suggested the need for analyzing urban roads as segments due to frequent signalized intersections in Indian scenarios (e.g., Raj and Vedagiri, 2022). Hence, the urban streets in Indian conditions are characterized by vehicles arriving in the platoon, which is used to understand the speed reduction more precisely in the present study.…”

Section: Vehicle Behaviour In An Interrupted Flowmentioning

confidence: 99%

Estimation of PCU Values for Urban Roads by Considering the Effect of Signalized Intersections under Mixed Traffic Conditions

Raj¹

2022

European Transport/Trasporti Europei

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Along with multiple classes of vehicles, frequent signalized intersections on the urban roads and the platoons thus created add complexity to the estimation of Passenger Car Units (PCU). Under such scenarios of interrupted traffic, a new approach based on platoon movement of vehicles is introduced for the realistic estimation of PCU values for urban roads by incorporating the appropriate vehicle behavior and interactions. The PCU values were derived by finding the trade-off between the speed reduction caused by the flow of passenger cars and other vehicle classes, as per the given definition by Transport Research Laboratory (TRL). However, the speed-flow, as well as the speed-density relations, were analyzed and found that later is preferred for the realistic estimation of PCUs for urban roads. The speed reduction is modeled using multiple linear regression with field data collected from typical urban roads characterized by platoon flow in Mumbai city (India).

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Evaluation of Perception and Nonperception based Approaches for Modeling Urban Road Level of Service

Cited by 6 publications

References 15 publications

Evaluation of Social and Economic Benefit of Urban Rail Transit Project Based on Spatial Econometric Model

Evaluation of Social and Economic Benefit of Urban Rail Transit Project Based on Spatial Econometric Model

A Novel Technology Stack for Automated Road Quality Assessment Framework using Deep Learning Techniques

Estimation of PCU Values for Urban Roads by Considering the Effect of Signalized Intersections under Mixed Traffic Conditions

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