6 papers
Demand-agnostic assessment of on-demand pooled transit services
Olha Shulika, Hanna Vasiutina, MichaÅ Bujak +2
This study proposes a method to assess the potential of pooled on-demand transit feeder services in urban areas where demand is not yet known. We introduce the fraction of demand,…
Generalising Travel Time Prediction To Varying Route Choices In Urban Networks
Åukasz Gorczyca, Kacper Drozd, MichaÅ Bujak +1
Previous methods that predict system-wide travel time, predominantly grounded in graph neural networks, remain limited to typical and recurring demand patterns. While they successf…
Adaptive Optimisation of Ride-Pooling Personalised Fares in a Stochastic Framework
Michal Bujak, Rafal Kucharski
Ride-pooling systems, to succeed, must provide an attractive service, namely compensate perceived costs with an appealing price. However, because of a strong heterogeneity in a val…
Wardropian Cycles make traffic assignment both optimal and fair by eliminating price-of-anarchy with Cyclical User Equilibrium for compliant connected autonomous vehicles
MichaŠHoffmann, MichaŠBujak, Grzegorz Jamróz +1
Connected and Autonomous Vehicles (CAVs) open the possibility for centralised routing with full compliance, making System Optimal traffic assignment attainable. However, as System…
SimFLEX: a methodology for comparative analysis of urban areas for implementing new on-demand feeder bus services
Hanna Vasiutina, Olha Shulika, MichaÅ Bujak +2
On-demand feeder bus services present an innovative solution to urban mobility challenges, yet their success depends on thorough assessment and strategic planning. Despite their po…
Balancing Profit and Traveller Acceptance in Ride-Pooling Personalised Fares
Michal Bujak, Rafal Kucharski
In a ride-pooling system, travellers experience discomfort associated with a detour and a longer travel time, which is compensated with a sharing discount. Most studies assume trav…