Sensitivity of street network capacity under the rain impact: case study of Belgrade

Ivanović, Ivan; Jovic, Jadranka J.

doi:10.3846/16484142.2017.1283532

Cited by 9 publications

(9 citation statements)

References 15 publications

(17 reference statements)

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“…In urban networks, street capacity is limited by intersection capacity and in signalised intersections, capacity is also affected by the green time ratio and the saturation flow rate. In previous research, the weather impact on urban network capacity is mainly quantified using saturation flow rate reduction [5,[37][38][39]. In general, the reduction of saturation flow rate under the impact of rain varied from 3% to 25%.…”

Section: Survey Methodologymentioning

confidence: 99%

“…Depending on climate and geographic zone there are different perceptions about what are good and what adverse weather conditions. But when it comes to transportation system users, ideal weather conditions (IWC) can be described as follows: no precipitation, dry roadway, visibility greater than 0.4 km, wind speed lower than 16 km/h, and temperature above 10°C [5][6][7]. Any type of weather conditions which deviates from IWC and causes changes in driver and traveller behaviour and thus affect transportation system efficiency should be taken into account.…”

Section: Introductionmentioning

confidence: 99%

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Modelling the Impact of Rain in Traffic Assignment Procedures

Ivanović

Celar

Djoric

et al. 2022

Promet

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The efficiency of urban transportation system is un-der the influence of weather conditions. It is necessary to incorporate these impacts into transport system analysis, in order to prepare adequate mitigation measures. Trans-port models are often used in different types of transport system analysis and forecasting of its future characteris-tics. This paper focuses on implementation of the impact of rain in transport modelling, particularly into a traffic assignment process as a part of a macroscopic transport model. This aspect of modelling is important because it can indicate parts of the network where this impact leads to a high volume/capacity ratio, which is a good input for defining mitigation measures. Commonly, transport models do not consider weather impacts in its standard procedures. The paper presents a methodology for cali-brating volume-delay function in order to improve traf-fic assignment modelling in case of rain. The impact of different rain categories on capacity and free-flow speed was quantified and implemented in the volume-delay function. Special attention is given to the calibration of the part of volume-delay function for over-saturated traf-fic conditions. Calibration methodology is applicable for different types of volume-delay functions and presents a solid approach to incorporate weather conditions into common engineering practice.

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Section: Survey Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling the Impact of Rain in Traffic Assignment Procedures

Ivanović

Celar

Djoric

et al. 2022

Promet

Self Cite

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“…Adverse weather conditions, such as rain, may significantly influence the traffic efficiency of urban roads, such as travel speeds and times, resulting in a deterioration of road network performance [1][2][3][4][5][6]. Heavy rain can cause the highest drop in travel speeds compared with light and moderate rain [5,7] because heavy rain can not only significantly reduce visibility but also induce flooding with a high probability, which increases accident risks and reduces roadway capacity [6,[8][9][10][11]. Therefore, decision-makers should pay more attention to the impacts of the continuous heavy rain process on the traffic efficiency of urban roads when developing effective traffic management measures and enhancing city resilience to adverse weather.…”

Section: Introductionmentioning

confidence: 99%

Multistage Impacts of the Heavy Rain Process on the Travel Speeds of Urban Roads

Luo

Luan³

2021

IJGI

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Heavy rain causes the highest drop in travel speeds compared with light and moderate rain because it can easily induce flooding on road surfaces, which can continue to hinder urban transportation even after the rainfall is over. However, very few studies have specialized in researching the multistage impacts of the heavy rain process on urban roads, and the cumulative effects of heavy rain in road networks are often overlooked. In this study, the heavy rain process is divided into three consecutive stages, i.e., prepeak, peak, and postpeak. The impact of heavy rain on a road is represented by a three-dimensional traffic speed change ratio vector. Then, the k-means clustering method is implemented to reveal the distinct patterns of speed change ratio vectors. Finally, the characteristics of the links in each cluster are analyzed. An empirical study of Shenzhen, China suggests that there are three major impact patterns in links. The differences among links associated with the three impact patterns are related to the road category, travel speeds in no rain days, and the number of transportation facilities. The findings in this research can contribute to a more in-depth understanding of the relationship between the heavy rain process and the travel speeds of urban roads and provide valuable information for traffic management and personal travel in heavy rain weather.

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“…The transport system is becoming unreliable in adverse weather conditions, particularly in densely populated areas. It is general opinion [1][2][3][4][5] that impacts of climate change and weather conditions on the transport system have not received the necessary attention. Traffic data are collected mainly in good weather conditions during the spring and autumn.…”

Section: Introductionmentioning

confidence: 99%

“…Traffic data are collected mainly in good weather conditions during the spring and autumn. Most models used in transportation planning and traffic management do not include parameters that indicate the weather impact, so they are customized for ideal weather conditions [5,6]. For a long period of time the weather conditions have been generally left out of travel demand studies, or simplified [2,3,7].…”

Section: Introductionmentioning

confidence: 99%

Impact of Weather Conditions on Travel Demand – The Most Common Research Methods and Applied Models

Petrović¹,

Ivanović²,

Djoric³

et al. 2020

PROMET

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This paper presents an overview of the applied research methodologies and developed travel demand models that take weather impact into account. The paper deals with trip generation and modal split as elements of travel demand that best describe changes in the travel behaviour in different weather conditions. The authors herein emphasize the importance of research in local conditions in all climate zones, especially in areas where climate and modal split characteristics are different from those in common research areas. This review is designed as a brief guide on how the impact of weather can be explored in order to encourage conducting research even in the countries where there is no systematic traffic and travel data collection. The stated adaptation technique followed by the panel household travel surveys may be particularly appropriate for those countries. It is concluded that small budgets should not be considered an obstacle, because it is possible to draw reliable conclusions based even on small samples. Moreover, modern research methods enable a cheaper survey process together with the possibility of obtaining higher quality of results. The increasing popularity of research in this field should contribute to the creation of more resilient transport systems all over the world. A special contribution of this paper is the review of research studies carried out in central, western and southern Europe and not mentioned in any review paper before.

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Sensitivity of street network capacity under the rain impact: case study of Belgrade

Cited by 9 publications

References 15 publications

Modelling the Impact of Rain in Traffic Assignment Procedures

Modelling the Impact of Rain in Traffic Assignment Procedures

Multistage Impacts of the Heavy Rain Process on the Travel Speeds of Urban Roads

Impact of Weather Conditions on Travel Demand – The Most Common Research Methods and Applied Models

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