A bi-level framework for heterogeneous fleet sizing of ride-hailing services considering an approximated mixed equilibrium between automated and non-automated traffic

Ride-hailing companies will face the emergence and gradual expansion of AVs-only zones in urban areas where only automated vehicles (AVs) are allowed to circulate. When owning a mixed fleet (automated and conventional taxis), a ride-hailing company has to determine the optimal fleet size as a function of the gradually expanding coverage of...

Heterogeneous fleet sizing for on-demand transport in mixed automated and non-automated urban areas

The era of intelligent transportation with automated vehicles (AVs) is coming. Nonetheless, the transition to this system will be a gradual process. On the one hand, some zones in the city may be dedicated to AVs with a fully intelligent traffic management system geared toward high performance. On the other hand, automated and conventional...

MILP models for the Dial-a-Ride problem with transfers

Automated vehicles are becoming a reality. Expectations are that AVs will ultimately transform personal mobility from privately owned assets to on-demand services. This transformation will enhance the possibility of sharing trips, leading to shared AVs (SAVs). The preeminent aim of this paper is to lay foundations for fast and efficient...

Non-emergency Patient Transfer Scheduling and Assignment

Emergency Medical Services organizations are responsible for providing paramedic crews, vehicles and equipment to transfer patients from one location to another in emergency and non-emergency settings. They must solve difficult scheduling and assignment problems to ensure on-time arrival of patients and the efficient use of health care...

Exact formulation and comparison between the user optimum and system optimum solution for routing privately owned automated vehicles

The possibility of having driverless cars on the streets seems to be more real than ever. In this paper, we focus on developing exact methods that can determine the effects of privately owned automated vehicles (AVs) and how switching to those vehicles is going to change mobility in urban environments. The considered problem determines the...

The effect of travel time information on day-to-day route choice behaviour: evidence from a real-world experiment

Route choice behaviour in response to travel information receives increasing attention within travel behaviour research. This study contributes to the literature by generating insights into the effect of travel information on day-to-day route choice behaviour based on largely explorative analyses using route choice data obtained from a real...

Travelers’ compliance with social routing advice: evidence from SP and RP experiments

This study examines to what extent travel information can be used to direct travelers to system-optimal routes that may be sub-optimal for them personally, but contribute to network efficiency. This is done by empirically examining determinants of travelers’ compliance with social routing advice. To that end, we conducted both a stated choice...