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Spatiotemporal dynamics of traffic bottlenecks yields an early signal of heavy congestions
J Duan, G Zeng, N Serok, D Li, EB Lieberthal… - Nature …, 2023 - nature.com
Heavy traffic jams are difficult to predict due to the complexity of traffic dynamics.
Understanding the network dynamics of traffic bottlenecks can help avoid critical large traffic …
Understanding the network dynamics of traffic bottlenecks can help avoid critical large traffic …
Deep reinforcement learning approach for solving joint pricing and inventory problem with reference price effects
Q Zhou, Y Yang, S Fu - Expert Systems with Applications, 2022 - Elsevier
Reference prices, developed by consumers who frequently buy their desired products or
services and form psychological price expectations as a benchmark, have significant …
services and form psychological price expectations as a benchmark, have significant …
Incentive-driven transition to high ride-sharing adoption
DM Storch, M Timme, M Schröder - Nature communications, 2021 - nature.com
Ride-sharing—the combination of multiple trips into one—may substantially contribute
towards sustainable urban mobility. It is most efficient at high demand locations with many …
towards sustainable urban mobility. It is most efficient at high demand locations with many …
The cost of non-coordination in urban on-demand mobility
Over the last 10 years, ride-hailing companies (such as Uber and Grab) have proliferated in
cities around the world. While generally beneficial from an economic viewpoint, having a …
cities around the world. While generally beneficial from an economic viewpoint, having a …
[HTML][HTML] How to split the costs and charge the travellers sharing a ride? aligning system's optimum with users' equilibrium
A Fielbaum, R Kucharski, O Cats… - European Journal of …, 2022 - Elsevier
Emerging on-demand sharing alternatives, in which one resource is utilised simultaneously
by a circumstantial group of users, entail several challenges regarding how to coordinate …
by a circumstantial group of users, entail several challenges regarding how to coordinate …
Were ride-hailing fares affected by the COVID-19 pandemic? Empirical analyses in Atlanta and Boston
T Silveira-Santos, ABR González, T Rangel, RF Pozo… - Transportation, 2024 - Springer
Ride-hailing services such as Lyft, Uber, and Cabify operate through smartphone apps and
are a popular and growing mobility option in cities around the world. These companies can …
are a popular and growing mobility option in cities around the world. These companies can …
Driver collusion in ride‐hailing platforms
M Tripathy, J Bai, HS Heese - Decision Sciences, 2023 - Wiley Online Library
Many on‐demand service platforms employ state‐dependent pricing strategies to balance
supply capacity and customer demand. In the context of ride‐hailing platforms, it has been …
supply capacity and customer demand. In the context of ride‐hailing platforms, it has been …
Collective dynamics of capacity-constrained ride-pooling fleets
RM Zech, N Molkenthin, M Timme, M Schröder - Scientific Reports, 2022 - nature.com
Ride-pooling (or ride-sharing) services combine trips of multiple customers along similar
routes into a single vehicle. The collective dynamics of the fleet of ride-pooling vehicles …
routes into a single vehicle. The collective dynamics of the fleet of ride-pooling vehicles …
Reducing the minimal fleet size by delaying individual tasks
M Kronmueller, A Fielbaum… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This work formally defines the problem of fleet sizing with delays (FSD), where the option of
delaying individual tasks within fleet sizing is considered. We prove that the FSD problem is …
delaying individual tasks within fleet sizing is considered. We prove that the FSD problem is …
[HTML][HTML] Transitioning to dynamic prices: Should pricing authority remain with the company or be delegated to the service employees instead?
J Wamsler, M Natter, R Algesheimer - Journal of Business Research, 2022 - Elsevier
Dynamic pricing is typically implemented via pricing algorithms that react to varying levels of
supply and demand. Some companies, such as Uber, also vary prices for different offers …
supply and demand. Some companies, such as Uber, also vary prices for different offers …