Spatio-temporal adaptive pricing for balancing mobility-on-demand networks

S He, KG Shin - ACM Transactions on Intelligent Systems and …, 2019 - dl.acm.org
Pricing in mobility-on-demand (MOD) networks, such as Uber, Lyft, and connected taxicabs,
is done adaptively by leveraging the price responsiveness of drivers (supplies) and …
被引用次数：40 相关文章
[PDF] github.io

[PDF][PDF] Spatio-temporal Adaptive Pricing for Balancing Mobility-on-Demand Networks

S HE, KG SHIN - 2019 - u2clabuconn.github.io
With the rapid urbanization and emergence of smart cities [19, 57, 60, 67], the Mobility-on-
Demand (MOD) economy [27, 52], pioneered by Uber, Lyft, Didi, and connected taxicabs …
[PDF] researchgate.net

[PDF][PDF] Spatio-temporal Adaptive Pricing for Balancing Mobility-on-Demand Networks

S HE, KG SHIN - 2019 - researchgate.net
With the rapid urbanization and emergence of smart cities [19, 57, 60, 67], the Mobility-on-
Demand (MOD) economy [27, 52], pioneered by Uber, Lyft, Didi, and connected taxicabs …
[PDF] umich.edu

[PDF][PDF] Spatio-temporal Adaptive Pricing for Balancing Mobility-on-Demand Networks

S HE, KG SHIN - 2019 - rtcl.eecs.umich.edu
With the rapid urbanization and emergence of smart cities [19, 57, 60, 67], the Mobility-on-
Demand (MOD) economy [27, 52], pioneered by Uber, Lyft, Didi, and connected taxicabs …
[PDF] github.io

[PDF][PDF] Spatio-temporal Adaptive Pricing for Balancing Mobility-on-Demand Networks

S HE, KG SHIN - 2019 - uconnu2clab.github.io
With the rapid urbanization and emergence of smart cities [19, 57, 60, 67], the Mobility-on-
Demand (MOD) economy [27, 52], pioneered by Uber, Lyft, Didi, and connected taxicabs …