Quantifying the Impact of Traffic on Electric Vehicle Efficiency

While the influence of several factors on battery electric vehicle (BEV) efficiency has been investigated in the past, their impact on traffic is not yet fully understood, especially when driving in a natural environment. This paper investigates the influence of driving in intense traffic conditions while considering the ambient temperature and driving behavior on BEV energy efficiency in a field study. A total of 30 BEV inexperienced drivers test drove a 2017 Volkswagen eGolf on a route with various road types in two different traffic intensity scenarios: During morning commute hours with higher traffic congestion and lower congestion hours throughout the middle of the day. Results support the hypothesis that traffic conditions significantly impact the vehicle’s efficiency, with additional consumption of approximately 4–5% in the high traffic scenario. By creating and comparing driving in traffic to an underlying base case scenario, the additional range potential by avoiding traffic for this particular vehicle can be quantified as up to seven miles. New patterns of BEV efficiencies emerged, which can help stakeholders understand how eco-driving can be strategically improved by selecting trip times and routes that avoid high traffic intensity.

Queuing Theory in Traffic Management System

In cities where the number of vehicles has consistently expanded faster than the transportation infrastructure available to serve them. More on queuing theory and its crucial application has been discussed in the current study. In Thudiyalur, Gandhipuram, and Periyanaickenpalayam, all in Coimbatore, this research examines the usefulness of queuing theory in the field of traffic management. The concept of traffic intensity isapplied to a set of areas in queuing theory in this study. Keywords: Traffic intensity, Queuing theory, Single server Poisson model

CONDITIONS VULNERABILITY IDENTIFICATION OF NATURAL AND TECHNICAL OBJECTS BASED ON LINEAR SPLINE INTERPOLATION OF INTERFACE TRAFFIC INTENSITY

The method of application of spline interpolation in solving the problems of identification of abnormal states (A-events) in information data flows and classification of the specified events in the control of natural and technical objects (PTO) is considered. The approach is based on the representation of the intensity of interface traffic by piecewise linear splines and implemented using a modeling stand. At the first stage, descriptions are generated and formed in the form of linear splines representing the states of controlled objects, one of which is subject to external disturbance. At the second stage, the generated descriptions of splines are used to assess discrepancies between the studied distributions and the influence of a number of factors on the reliability of decisions made using probabilistic modeling methods in the Anylogic environment.

Taxonomic composition and condition of tree plantations of roadside strips in Kyiv

Aim. The analysis of the taxonomic composition and living condition of tree plantations of roadside strips in Kyiv. Methods. Determination of the species composition and viability of trees and shrubs was carried out by route survey on test areas along the routes with different traffic intensity. The plants living condition was established according to the methodology developed by us, which provides an integrated vitality assessment based on a set of morphometric, reproductive and phenological features. Results. It is established that in the conditions of traffic flow of high intensity 23, of moderate 27 and of low 29 species of trees and bushes were found on the test areas. The tree plants of most common genera and species of roadside plantations are identified. The plants living condition analysis showed, that in the conditions of traffic flow of high intensity, plants of moderate and low vitality predominate; while in the conditions of moderate and low traffic intensity, the predominant numbers of plants have high vitality. Conclusions. Analysis of the range of roadside plantations indicates its limited and almost complete absence of conifers. The species composition is not optimal and is not always determined by the degree of resistance to transport pollution specific conditions. The woody plants vitality is largely determined by the traffic intensity and compliance with care technology.

Studies of urban aerosol particle number and mass concentrations with a mobile platform: The roles of COVID-19, traffic, and meteorology

<p>Although urban air pollution is on the decline in central Europe, it still causes several hundreds of thousands of premature deaths per year. The EU standards of atmospheric aerosol particle mass concentrations PM10 and PM2.5 (µg m<sup>-3</sup>) have not been exceeded anymore in Germany in 2020, yet there is a rather large uncertainty about the toxicity of particle number concentrations PN (cm<sup>-3</sup>), for which no legal limits are established. High PN concentrations are typically caused by the exhaust of motorized road vehicles. From 2019 through 2021, national lockdowns in response to the COVID-19 pandemic resulted in reduced human activity. The traffic intensity was heavily reduced, which should have led to an equally strong reaction of the urban aerosol particle concentrations, specifically the PN concentrations. For NO<sub>x</sub> and PM10, it has been shown for sections of central Europe that the decrease of urban concentrations was not as intense as expected by traffic reduction, because lockdowns coincided with periods of low wind speeds and poor atmospheric exchange conditions. We performed meteorological and air chemistry measurements with an instrumented cargo bicycle before, during, and after the COVID-19 lockdown periods in Münster, Germany. During each ride, two circular routes around the city center were realized, a high-traffic route and a low-traffic route. A complex picture emerged with varying impact of the day of the week, selection of route, meteorological conditions, and traffic intensity driving the PN and PM concentrations. Single-ride high-resolution analysis showed convincingly that the multitude of exhaust plumes from motorized vehicles exerted a strong impact on the PN concentrations. A relative importance analysis was performed on the entire dataset. According to the statistical analysis, PM10 responded most to the day of the week. Although the traffic intensity was also low on weekends, the impact of traffic on PM10 was rather low. Presumably, PM10 responded either to a specific traffic component such as commercial, low-duty vehicles, or to other business with weakly cycles such as construction activity. The meteorological conditions exert impact mostly through the relative humidity, which affects particle growth and reduction of the PN concentration. The role of the lockdowns was quite little overall. For future research, a more complete coverage of the seasons of the year is recommended as well as the inclusion of NO<sub>x</sub> measurements on board of the cargo bicycle. </p>

Minimization of traffic delay in traffic flows with coordinated control

The method and results of transport research, carried out by field research method, on the determination of the main indicators of traffic flows with significant unevenness of the movement on the arterial street in conditions of coordinated control is reviewed in the paper. Time parameters of traffic light control for which a reduction in traffic delay is achieved in direct and opposite traffic flow by the change of permissive signal depending on traffic intensity are determined using the simulation method. Change (increase) of the duration of the permissive signal provides uninterrupted movement of vehicles` group during their passage of stop-line at traffic light objects. The proposed method can be used on sections of transport networks with coordinated control, where there is significant heterogeneity of traffic flow, and it prevents the dissipation of groups that consist of vehicles with different dynamic characteristics. Such a result is being performed in the case when in the system of automated control, which combines adjacent intersections on an arterial street, fixed-time program control of traffic light signalization is operating. In this condition, there is a possibility to adjust the duration of signals of traffic light groups by correcting the width (permissive signal duration) and angle of inclination (speed of movement) of the timeline in coordination graphs. The scientific novelty of this research is that the method of traffic delay minimization in conditions of coordinated control acquired further development. The essence of the method is in the controlled change of the range of permissive signal duration in conditions of simultaneous control of the speed of movement between adjacent intersections. Practical value is the application of different programs of traffic light control on sections of arterial streets in transport districts where a significant difference of values of traffic intensity by directions is in morning and evening peak periods.

ASSESSMENT OF ROAD LIGHTING PERFORMANCE FOR TRAFFIC INTENSITY AND TRAFFIC DETECTION BASED LIGHTING ADAPTATION

Amongst many road lighting design criteria, energy performance plays an important role as it has a direct link to operational costs, potential reduction of carbon dioxide emissions, mitigation of obtrusive light, and its impact on the night-time environment in urban and con-urban settlements. The energy energy performance of road lighting is conveniently described by the pair of normative numerical indicators PDI and AECI established in European standards. This paper aims to present typical values of the AECI (Annual Energy Consumption Indicator) for different combinations of road arrangements, road widths, lighting classes and light source technologies to illustrate what benchmarks can be expected using this assessment system. Essential part of this paper is focusing on assessment of the performance for traffic intensity and traffic detection based lighting adaptation.

Traffic noise research in tambov city

Introduction. The problem of traffic noise on the road network of cities is considered. The reasons for the annual increase in the sound level on urban roads in Russia and abroad, as well as the factors contributing to this, are investigated. The purpose of the work: on the basis of the conducted theoretical research and the obtained experimental data, to develop measures that contribute to improving the environmental safety of the city, to build a model of the dependence of the noise level on the traffic intensity, taking into account the peculiarities of the organization of traffic and urban planning in Tambov.Materials and methods. Sound level measurements on the Tambov road network were carried out in accordance with the methodology specified in GOST 20444-2014, which provided for the assessment of the actual noise characteristics of traffic flows (by vehicle type). The measurements were carried out using a noise meter in summer and winter during peak and inter-peak times on weekdays.Results. The study of the noise level on the Tambov street and road network showed an excess of this indicator relative to the norms by 7-18%, depending on peak and inter-peak time, as well as the summer and winter period. The dependence of the traffic intensity of vehicles on the noise level in the summer and winter periods is constructed.Discussion and conclusion. The measures were proposed, including urban planning, to reduce the sound level in the areas under consideration. The complex of these measures will reduce the level of traffic noise on the city’s road network by an average of 5-15 dBA.