Average Vehicles Length in Two-lane Urban Roads: A Case Study in Budapest

Zefreh, Mohammad Maghrour; Török, Ádám; Mészáros, Ferenc

doi:10.3311/pptr.10744

Cited by 9 publications

(4 citation statements)

References 10 publications

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“…Spatial econometric models for aggregated traffic [1] and heavy goods vehicles (HGV) [2] were presented and the results verified the assumption that clustering traffic according to the types of vehicles gives better results. In this paper, a model specialized for passenger cars is developed and presented as the next step of cross border traffic analysis [3].…”

Section: Introductionmentioning

confidence: 99%

Spatial Econometric Cross-Border Traffic Analysis for Passenger Cars – Hungarian Experience

Sipos

Szabó

Török

2021

PROMET

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The role of cross-border commuting needs is remarkable, given that large cross-border cities tend to have high traffic attractiveness. Thus, agglomeration effects are strongly prevalent in populous settlements close to the border. This is due to the fact that both Hungary and the neighboring countries are burdened by spatial inequalities; therefore, the traffic at the individual border crossing points is unbalanced. Our aim is to show the extent to which the introduction of certain public transport modes contributes to the reduction of cross-border passenger car traffic. In order to do this, we have to set up a spatial econometric model that can simultaneously handle the parallel public transport infrastructure, the cross-border attractiveness of border cities, and the impact of spatial inequalities. The results of the research shed light on how the introduction of each means of transport contributes to increasing the competitiveness of border regions. This will demonstrate the effectiveness of policy tools that can improve the competitiveness of a given macroregion.

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Section: Introductionmentioning

confidence: 99%

Spatial Econometric Cross-Border Traffic Analysis for Passenger Cars – Hungarian Experience

Sipos

Szabó

Török

2021

PROMET

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“…New environmentally-friendly vehicles are being developed, continuously making emissions requirements more stringent [33], companies pay pollution taxes, etc., understanding that the level of this pollution is the highest and respective measures for putting it under control are necessary [25,34,35]. Noise pollution in logistics corridors should also receive due attention [36,37]. This type of pollution also has a huge impact on the environment and the quality of life of people living next to it; vibrations caused thereby directly affect the elements of the road infrastructure, including bridges, viaducts, adjacent buildings and others [29,38].…”

Section: Introductionmentioning

confidence: 99%

Algorithm for Reducing Truck Noise on Via Baltica Transport Corridors in Lithuania

et al. 2020

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The section of Via Baltica going through the territory of the Republic of Lithuania is the most traffic intensive land logistics corridor in the country. The annual transportation volume has been increasing on this road; thus, the reduction of pollution caused by vehicles has become important. If gas emissions are regulated, and carriers have to pay pollution taxes, this does not apply to noise levels. The article presents the traffic intensity in this logistics corridor, measurements of the noise level at the characteristic points, its relation to the number of vehicles passing through it and an expert evaluation of proposed methods for noise energy reduction. Environmental noise is an unwanted or harmful sound that propagates in terms of both duration and geographical coverage. Noise is associated with many human activities, but road, rail and air traffic noises have the greatest impact. Due to irrationally arranged transport network, the transit flow of freight transport crosses residential areas of the city, places of rest and recreation of the population, causing high noise levels in adjacent areas. This is the biggest problem for the urban environment. Environmental noise affects many Europeans and is therefore considered by society to be one of the biggest environmental problems. This article presents an assessment of a new traffic noise algorithm. The presented expert survey on noise energy reduction allows choosing the most appropriate method for reducing noise energy in Via Baltica transport logistics corridor. Based on the expert survey, a hierarchical table for noise energy reduction was compiled. It will allow assessing the validity of individual noise energy reduction solutions. It has become relevant for improving infrastructure of other transport corridors and choosing the most appropriate solutions to reduce vehicle noise pollution. A further application of this model can be focused on economic evaluation, forecasting of expected benefits and so on.

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“…Simulator based studies have revealed, that text messaging results more lane deviations and crashes, and has a significantly negative impact on traffic flow (Zefreh et al 2017) among young drivers (Stavrinos et al 2013). Combined with effects of alcohol intoxication, the risks were even higher when examining the position of the car and eye glances (Palumbo et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Statistical Analysis of the Effects of Disruptive Factors of Driving in Simulated Environment

2019

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Distracting activities (such as using mobile phones, writing text messages) become increasingly common with the widespread use of telecommunication devices, becoming an increasing problem of road safety. Our research aimed to show the effects of these disruptive factors on driving. To quantify the effects, simulator tests have been performed. To analyse the significance of the changes caused by the disruptive factors, mathematical-statistical methods have been applied and conclusions for all drivers have been drawn. The effects of the disruptive factors have been quantified. On the one hand, the cognitive distraction and the hindrance of movements affects negatively the road safety, and on the other hand results in negative environmental and economic effects. Based on the numerical results of the research, hitting speeds caused by the disruptive factors have been determined as an example. The results of the research can be used as input data for the quantification of economic and environmental effects of road safety caused by disruptive factors and for the establishment of the background of legislation related to the prohibition of these factors.

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Average Vehicles Length in Two-lane Urban Roads: A Case Study in Budapest

Abstract: Abstract

Cited by 9 publications

References 10 publications

Spatial Econometric Cross-Border Traffic Analysis for Passenger Cars – Hungarian Experience

Spatial Econometric Cross-Border Traffic Analysis for Passenger Cars – Hungarian Experience

Algorithm for Reducing Truck Noise on Via Baltica Transport Corridors in Lithuania

Statistical Analysis of the Effects of Disruptive Factors of Driving in Simulated Environment

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