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

In carpooling systems, a set of drivers owning a private car can accept asmall detour to pick-up and drop-off other riders. However, carpooling iswidely used for long-distance trips, where rider-driver matching can be donedays ahead. Making carpooling a viable option for daily commute is morechallenging, as trips are shorter and, proportionally, the detours tolerated bydrivers are more tight. As a consequence, finding riders and drivers sharingclose-enough origins, destinations and departure time is less likely, whichlimits potential matching. In this paper we propose an Integrated System, wherecarpooling matching is synchronized with Public Transit (PT) schedules, so asto serve as a feeder service to PT in the first mile. Driver detours areproposed towards PT selected stations, which are used as consolidation points,thus increasing matching probability. We present a computationally efficientmethod to represent PT schedules and drivers trajectory in a single GeneralTransit Feed Specification database, which allows to compute multimodal riderjourneys using any off the shelf planners. We showcase our approach in themetropolitan area of Portland, Oregon, considering 8k randomly generated trips.We show the benefits of our Integrated System. We find that 10% more ridersfind a feasible matching with respect to the status quo, where carpooling andPT are operated separately. We release our code as open source.

PoolLines: Modeling Carpooling as Ephemeral Lines in GTFS for effective integration with Public Transit