Resilience-based recovery scheduling of transportation network in mixed traffic environment: A deep-ensemble-assisted active learning approach
Devising effective post-hazard recovery strategies is critical in enhancing the resilience of
transportation networks (TNs). However, existing work does not consider the multiclass …
transportation networks (TNs). However, existing work does not consider the multiclass …
Designing autonomous vehicle incentive program with uncertain vehicle purchase price
This study proposes an autonomous vehicle incentive program design (AV-IPD) problem for
a local government, which aims to promote the adoption of autonomous vehicles (AVs) by …
a local government, which aims to promote the adoption of autonomous vehicles (AVs) by …
[HTML][HTML] Incorporating vehicle self-relocations and traveler activity chains in a bi-level model of optimal deployment of shared autonomous vehicles
Q Li, F Liao - Transportation Research Part B: Methodological, 2020 - Elsevier
The combination of autonomous vehicles (AVs) and free-floating car-sharing scheme is
expected to deliver high potentials of both through effective AV self-relocations. Little …
expected to deliver high potentials of both through effective AV self-relocations. Little …
Modeling, equilibrium, and demand management for mobility and delivery services in Mobility‐as‐a‐Service ecosystems
Abstract Mobility‐as‐a‐Service (MaaS) is an emerging business model integrating various
travel modes into a single mobility service accessible on demand. Besides the on‐demand …
travel modes into a single mobility service accessible on demand. Besides the on‐demand …
Dynamic speed harmonization in connected urban street networks
M Tajalli, A Hajbabaie - Computer‐Aided Civil and …, 2018 - Wiley Online Library
Connected vehicle technology, the Internet of Things, and other advanced communication
technologies create possibilities to facilitate the movement of vehicles through transportation …
technologies create possibilities to facilitate the movement of vehicles through transportation …
Optimal traffic management policies for mixed human and automated traffic flows
Abstract Although Autonomous Vehicles (AVs) will enhance mobility and safety, their impact
on congestion is not clear yet. AVs may increase roadway capacity due to their connectivity …
on congestion is not clear yet. AVs may increase roadway capacity due to their connectivity …
Joint routing and pricing control in congested mixed autonomy networks
Routing controllability of connected and autonomous vehicles (CAVs) has been shown to
reduce the adverse effects of selfish routing on the network efficiency. However, the …
reduce the adverse effects of selfish routing on the network efficiency. However, the …
Matching and routing for shared autonomous vehicles in congestible network
The dispatch and routing problems of shared autonomous vehicle (DR-SAV) have been
widely studied, and one of the key challenges is the modeling complexity and computational …
widely studied, and one of the key challenges is the modeling complexity and computational …
Minimization of water pumps' electricity usage: A hybrid approach of regression models with optimization
Due to pervasive deployment of electricity-propelled water-pumps, water distribution
systems (WDSs) are energy-intensive technologies which are largely operated and …
systems (WDSs) are energy-intensive technologies which are largely operated and …
Distance-based time-dependent optimal ratio control scheme (TORCS) in congested mixed autonomy networks
Connected and automated vehicle technologies provide an opportunity for a more efficient
distribution of traffic in urban networks through cooperative routing behavior. Controlling the …
distribution of traffic in urban networks through cooperative routing behavior. Controlling the …