Speed Limit Induced CO2 Reduction on Motorways: Enhancing Discussion Transparency through Data Enrichment of Road Networks

Kunkler, Jan; Braun, Maximilian; Kellner, Florian

doi:10.3390/su13010395

Cited by 6 publications

(4 citation statements)

References 55 publications

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“…This also means that fuel consumption and CO2 emission level are similar (Mock, 2016). Table 1 was created using the nal regression model graph recommended by the German Environment Agency to estimate CO2 emissions through average travel speeds (Kunkler, Braun, & Kellner, 2021). Intuitively, it is thought that the amount of emissions they emit will increase as the vehicle speed increases.…”

Section: Methodsmentioning

confidence: 99%

An Innovative Service for Monitoring Vehicles Emissions

Topal,

Aydinoglu,

Demirel

2023

Preprint

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The measurement and monitoring emissions that could be attributed to transportation are highly on demand, since transportation is generally considered as the main source of greenhouse gases. However, several barriers are apparent such as data challenges, national/regional/local emission calculations and lacking efficient tools to measure the performance and progress of counter measures. Furthermore, available open data sources, tools and software are not adequately incorporated. Within this study, in order to facilitate decision-makers on such challenges a web-based geospatial dashboard service is designed to calculate and monitor real-time vehicle emissions. The concepts and the framework is validated in five districts of Istanbul, where Istanbul is prominent with its urban transport challenges. The model, geospatial dashboard, proposed user-friendly and fit-for-purpose, is open-sourced and complies with the national spatial standards. Via utilizing the dashboard, it is possible to monitor emissions from vehicles and uncover spatial patterns with the help of interactive map and graphics. The service provided could help decision makers to perform the technically difficult monitoring process seamlessly, where policymakers could focus on combatting climate change and greenhouse gases. Additionally, the proposed service is easily adaptable to Istanbul and other cities.

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Section: Methodsmentioning

confidence: 99%

An Innovative Service for Monitoring Vehicles Emissions

Topal,

Aydinoglu,

Demirel

2023

Preprint

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“…The driving speed affects not only road safety, but also exhaust emissions, fuel consumption (Kunkler et al, 2021), traffic noise levels and the quality of life for people who live or work near the road. In Germany, society is discussing the possible setting of speed limits on Autobahn-type roads, which could theoretically reduce the amount of fuel consumed and, therefore, also reduce the amount of CO 2 produced.…”

Section: The Influence Of Traffic Speed On Road Traffic Safetymentioning

confidence: 99%

Road Traffic Flow Speed on Rural Roads in Latvia

Kreicbergs,

Folla,

Smirnovs

2024

BJRBE

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The aim of this article is to perform a comprehensive analysis of the data obtained during flow speed measurements on Latvian national roads. An algorithm for data selection was developed and implemented allowing for an analysis of comparable and unbiased traffic flow measurement data. In the course of the work, more than 150 000 000 traffic flow data records were received from the State Limited Liability Company Latvian State Roads for the period from autumn 2011 to the end of 2022. Above 30 000 000 records from 15 road sites were selected and processed. The results obtained during the analysis were visualized by depicting flow characteristics – average daily traffic, car proportion in traffic flow, average speed, speed histograms, speed rates V25, V50, V75, V90, V95, V99 and proportions of vehicles driven below various speed levels and speeding data. The data characterising the situation on Latvian national roads are intended to be used in the future traffic safety research.

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“…In recent years, OpenStreetMap (OSM), a crowdsourced mapping platform, has become a vital source of road network data, owing to its advantages of being free, easily downloadable, having timely updates, feature-rich data, and wide coverage [8]. Researchers have used OSM data for various transportation studies, focusing on traffic assignment [9][10][11], incident analysis [12], emissions [13,14], road network properties, and multiple city comparisons. There are also various tools that can download, correct topology, analyse, and visualise data from OSM [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Rapidex: A Novel Tool to Estimate Origin–Destination Trips Using Pervasive Traffic Data

et al. 2021

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A traffic assignment model is a critical tool for developing future transport systems, road policies, and evaluating future network upgrades. However, the development of the network and demand data is often highly intensive, which limits the number of cases where some form of the models are available on a global basis. These problems include licensing restrictions, bureaucracy, privacy, data availability, data quality, costs, transparency, and transferability. This paper introduces Rapidex, a novel origin–destination (OD) demand estimation and visualisation tool. Firstly, Rapidex enables the user to download and visualise road networks for any city using a capacity-based modification of OpenStreetMap. Secondly, the tool creates traffic analysis zones and centroids, as per the user-specified inputs. Next, it enables the fetching of travel time data from pervasive traffic data providers, such as TomTom and Google. With Rapidex, we tailor the genetic-algorithm (GA)-based metaheuristic approach to derive the OD demand pattern. The tool produces critical outputs such as link volumes, link travel times, OD travel times, average trip length and duration, and congestion level, which can also be used for validation. Finally, Rapidex enables the user to perform scenario evaluation, where changes to the network and/or demand data can be made and the subsequent impacts on performance metrics can be identified. In this article, we demonstrate the applicability of Rapidex on the network of Sydney, which has 15,646 directional links, 8708 nodes, and 178 zones. Further, the model was validated using the Household Travel Survey data of Sydney using the aggregated metrics and a novel project selection method. We observed that 88% of the time, the “estimated” and “observed” OD matrices identified the same project (i.e., the rapid process estimated the more intensive traditional approach in 88% of cases). This tool would help practitioners in rapid decision making for strategic long-term planning. Further, the tool would provide an opportunity for developing countries to better manage traffic congestion, as cities in these countries are prone to severe congestion and rapid urbanisation while often lacking the traditional models entirely.

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Speed Limit Induced CO2 Reduction on Motorways: Enhancing Discussion Transparency through Data Enrichment of Road Networks

Cited by 6 publications

References 55 publications

An Innovative Service for Monitoring Vehicles Emissions

An Innovative Service for Monitoring Vehicles Emissions

Road Traffic Flow Speed on Rural Roads in Latvia

Rapidex: A Novel Tool to Estimate Origin–Destination Trips Using Pervasive Traffic Data

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