A közlekedésépítési szakterület mérnöki és tudományos folyóirata. ISSN: 2064-0919
15. szám
9. évfolyam
2021 július

Nemzetközi szemle: December

Közúti újrahasznosított műanyagok a fenntartható aszfalt burkolatok számára: a közúti műanyagok választéka felé

Use of Road-grade Recycled Plastics for Sustainable Asphalt Pavements: Towards the Selection of Road-grade Plastics

Szerző(k): F. Giustozzi, D.L. Xuan, M. Enfrin, H. Masood, R. Audy, Y.J. Boom

Austroads, Australia

Link: https://austroads.com.au/publications/pavement/ap-r663-21

(letölthető ingyenes regisztrációval)

Terjedelem: 114 oldal


This report provides a comprehensive overview of the initial development of various testing frameworks for the characterisation of road-grade recycled plastic, the incorporation of recycled plastics in bitumen and asphalt via various methods (wet, dry, and mixed), and the study of possible emissions and microplastics release. The report details the recycled plastic selection process and its characterisation for bitumen and asphalt applications. In addition, preliminary testing of the shortlisted plastics in combination with bitumen and asphalt to evaluate the performance of the blends and mixtures is provided. The is the second report from project APT6305. The first examined the use of road-grade recycled plastics in asphalt pavements and investigated the most suitable types of recycled plastics for incorporation into asphalt.


A közszféra e-kerékpár kezdeményezés hatásai: végső értékelő jelentés

Impacts of a public sector e-bike scheme: Final evaluation report

Szerző(k): M. Blewden, G. Hawley, A. Raja, R. Thorne, H. Mackie,

Mackie Research Ltd, New Zealand

Link: https://www.nzta.govt.nz/resources/research/reports/678

Terjedelem: 98 oldal


In late 2019, Waka Kotahi NZ Transport Agency launched the public sector e-bike purchase support initiative. It aimed to exemplify and promote sustainable, active travel for employees by supporting employers to set up e-bike purchase schemes with approved suppliers. The initiative initially targets public sector employees but is open to others also. It includes salary advances, employee loans, product discounts and interest-free finance terms. Suppliers also provide support such as advice and e-bike trials. In 2020, researchers evaluated the scheme with a literature review, surveys of registered organisations and participants, and interviews with scheme coordinators, e-bike suppliers, and employees who had purchased e-bikes.


Nagy mennyiségű adat az utazási igény modellezésben: összefoglalás és következtetések

Big Data for Travel Demand Modelling: Summary and Conclusions

Szerző(k): International Transport Forum, OECD

Link: https://www.itf-oecd.org/big-data-travel-demand-modelling

Terjedelem: 57 oldal


This report examines how big data from mobile phones and other sources can help forecast travel demand. It identifies the strengths and potential use cases for big data in transport modelling and mobility analysis. The report presents ways to address potential biases, commercial sensitivities and privacy threats and offers recommendations for governance arrangements that make data sharing easier. The report summarises the findings of an ITF Roundtable in December 2020 that brought together experts from 28 different organisations in 14 countries. It draws from four discussion papers that provide practical illustrations of the use of big data from mobile signals, smartphones and smart cards in transport planning.


A mobilitás innovatív megoldásai: mobilitás, mint szolgáltatás

The Innovative Mobility Landscape. The Case of Mobility as a Service

Szerző(k): International Transport Forum, OECD

Link: https://www.itf-oecd.org/innovative-mobility-landscape-maas

Terjedelem: 128 oldal


This report presents the results of a project carried out jointly by the ITF and the World Business Council for Sustainable Development (WBCSD). It begins by addressing the current and future context for urban mobility, including the sustainability challenges ahead. It then reviews how the urban mobility landscape is changing with respect to mobility operators and services. Next, it addresses the development and characterisation of Mobility as a Service (MaaS) as a means to improve urban mobility outcomes. Finally, it reviews a number of critical governance and regulatory challenges that stakeholders must address to create a healthy Mobility as a Service ecosystem that delivers clear benefits to people and is aligned with societal objectives.


Biztonság előre becslési módszertan és elemző eszközök gyorsforgalmi utak és csomópontjaik számára

Safety Prediction Methodology and Analysis Tool for Freeways and Interchanges

Szerző(k): J.A. Bonneson, S. Geedipally, M.P. Pratt, D. Lord

Transportation Research Board, USA

Link: https://www.nap.edu/download/26367

Terjedelem: 765 oldal


Prior to this research project, state highway agencies did not have tools for reflecting safety in their decisions concerning freeway and interchange projects. This research was undertaken to address this need by developing safety prediction methods for freeways and interchanges that can be used to quantify the influence of design and operational decisions on safety. There were several objectives of this research project. One key objective was to develop an overall framework for safety prediction methods for freeways and interchanges. A second key objective was to develop analytical models and procedures within the overall framework, and then document them as a predictive method in a chapter for the future edition of the Highway Safety Manual (HSM). The project’s secondary objectives were to develop a software tool and training materials to facilitate the implementation of the safety prediction methods developed for this project. One objective was to develop a software tool that automated the framework, models, and procedures for safety evaluation. A second objective was to develop workshop training materials that inform practitioners about techniques for effectively using the software tool to evaluate alternative freeway designs. A third objective was to document the method’s algorithms in a manner that would support their inclusion in the FHWA’s Interactive Highway Safety Design Model (IHSDM).


A közösségi közlekedés és a mikromobilitás

Transit and Micromobility

Szerző(k): C. Murphy, T. Curtis, E. Costagliola, R. Clewlow, S. Seki, R. Xu

Transportation Research Board, USA

Link: https://www.nap.edu/download/26386

Terjedelem: 111 oldal


TCRP Research Report 230: Transit and Micromobility provides an analysis of the full benefits and impacts of micromobility on public transportation systems in transit-rich markets as well as in medium-sized and smaller urban areas. The report includes case studies and lessons learned from different collaborations among cities, transit agencies, and micromobility companies. This report will provide public transit agencies with a reference on the benefits, impacts, and opportunities of micromobility to transit ridership and the built environment. The report was developed for public transit systems of all sizes and their stakeholders, including policymakers, transit board members, and elected officials who are seeking better understanding of the micromobility environment and their options. The report will also be useful to officials who regulate and manage micromobility.


Töltő infrastruktúra az elektromos mobilitási átállás támogatására Franciaországban

Charging Infrastructure to Support the Electric Mobility Transition in France

Szerző(k): M. Rajon Bernard, D. Hall, N. Lutsey

International Council on Clean Transportation

Link: https://theicct.org/publications/france-evs-infrastructure-transition-nov21

Terjedelem: 45 oldal


This report investigates the amount, type, and distribution of charging infrastructure that will be needed to support the transition of the electric passenger car, taxi, private hire vehicle, and light commercial vehicle fleets through 2035 to put France on a path toward achieving 100% fully electric vehicle sales by 2040. The number of chargers is estimated at the level of French departments, for six charging settings: home, workplace, depot, public normal, fast urban, and fast highway chargers.


Burkolat adat elemzés összegyűjtött érzékelő adatokból

Pavement Data Analytics for Collected Sensor Data

Szerző(k): O.E. Gungor, I.L. Al-Qadi, N. Garg

University of Illinois, Federal Aviation Administration, USA

Link: https://rosap.ntl.bts.gov/view/dot/58294

Terjedelem: 49 oldal


The Federal Aviation Administration instrumented four concrete slabs of a taxiway at the John F. Kennedy International Airport to collect pavement responses under aircraft and environmental loading. The study started with developing preprocessing scripts to organize, structure, and clean the collected data. As a result of the preprocessing step, the data became easier and more intuitive for pavement engineers and researchers to transform and process. After the data were cleaned and organized, they were used to develop two prediction models. The first prediction model employs a Bayesian calibration framework to estimate the unknown material parameters of the concrete pavement. Additionally, the posterior distributions resulting from the calibration process served as a sensitivity analysis by reporting the significance of each parameter for temperature distribution. The second prediction model utilized a machine-learning (ML) algorithm to predict pavement responses under aircraft and environmental loadings. The results demonstrated that ML can predict the responses with high accuracy at a low computational cost. This project highlighted the potential of using ML for future pavement design guidelines as more instrumentation data from future projects are collected to incorporate various material properties and pavement structures.


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