English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The recent uptake in popularity in vehicles with zero tailpipe emissions is awelcome development in the fight against traffic induced airborne pollutants.As vehicle fleets become electrified, and tailpipe emissions become lessprevalent, non-tailpipe emissions (from tires and brake disks) will become thedominant source of traffic related emissions, and will in all likelihood becomea major concern for human health. This trend is likely to be exacerbated by theheavier weight of electric vehicles, their increased power, and their increasedtorque capabilities, when compared with traditional vehicles. While the problemof emissions from tire wear is well-known, issues around the process of tireabrasion, its impact on the environment, and modelling and mitigation measures,remain relatively unexplored. Work on this topic has proceeded in severaldiscrete directions including: on-vehicle collection methods; vehicle tire-wearabatement algorithms and controlling the ride characteristics of a vehicle, allwith a view to abating tire emissions. Additional approaches include accesscontrol mechanisms to manage aggregate tire emissions in a geofenced area withother notable work focussing on understanding the particle size distribution oftire generated PM, the degree to which particles become airborne, and thehealth impacts of tire emissions. While such efforts are already underway, theproblem of developing models to predict the aggregate picture of a network ofvehicles at the scale of a city, has yet to be considered. Our objective inthis paper is to present one such model, built using ideas from Markov chains.Applications of our modelling approach are given toward the end of this note,both to illustrate the utility of the proposed method, and to illustrate itsapplication as part of a method to collect tire dust particles.

Markovian city-scale modelling and mitigation of micro-particles from tyres