Zooming into mobility to understand cities: A review of mobility-driven urban studies
Emerging big datasets about human mobility provide new and powerful ways of studying
cities and addressing various urban issues. However, human mobility has usually been …
cities and addressing various urban issues. However, human mobility has usually been …
An implementation of real-time traffic signs and road objects detection based on mobile GPU platforms
E Güney, C Bayilmiş, B Çakan - IEEE access, 2022 - ieeexplore.ieee.org
Thanks to the rapid development of computer vision and deep learning technologies,
advanced driver assistance systems (ADAS) have recently become widespread. These …
advanced driver assistance systems (ADAS) have recently become widespread. These …
Modeling the preference of electric shared mobility drivers in choosing charging stations
Electric vehicles for urban shared mobility services are important customers at public
charging stations, and understanding their charging behavior is essential to the charging …
charging stations, and understanding their charging behavior is essential to the charging …
FTPG: A fine-grained traffic prediction method with graph attention network using big trace data
Short-term traffic prediction is of great importance to the management of traffic congestion, a
pervasive and difficult-to-solve problem in many metropolises all over the world. However …
pervasive and difficult-to-solve problem in many metropolises all over the world. However …
Cascade saccade machine learning network with hierarchical classes for traffic sign detection
Z Liu, M Qi, C Shen, Y Fang, X Zhao - Sustainable Cities and Society, 2021 - Elsevier
Traffic signs detection is one of the significant tasks for autonomous driving. It conveys
notable traffic information timely to road users and maintains traffic safety in smart grid of …
notable traffic information timely to road users and maintains traffic safety in smart grid of …
Spatial pricing in ride-sourcing markets under a congestion charge
This paper studies the optimal spatial pricing for a ride-sourcing platform subject to a
congestion charge. The platform determines the ride prices over the transportation network …
congestion charge. The platform determines the ride prices over the transportation network …
Shared parking for ride-sourcing platforms to reduce cruising traffic
Ride-sourcing platforms create cruising traffic that exacerbates road congestion in large
cities. This paper considers shared parking services for ride-sourcing vehicles to reduce the …
cities. This paper considers shared parking services for ride-sourcing vehicles to reduce the …
Potential and flexibility analysis of electric taxi fleets V2G system based on trajectory data and agent-based modeling
The utilization of Vehicle-to-Grid (V2G) technology, which facilitates the integration of electric
vehicles (EVs) into the power grid, is promising for energy management systems. Among …
vehicles (EVs) into the power grid, is promising for energy management systems. Among …
What motivates the use of shared mobility systems and their integration with public transit? Evidence from a choice experiment study
Shared mobility, including bike-sharing, shared e-scooter, and ride-hailing, could improve
transportation sustainability when substituting private car use and integrating with public …
transportation sustainability when substituting private car use and integrating with public …
Online eco-routing for electric vehicles using combinatorial multi-armed bandit with estimated covariance
Identifying energy-efficient routes in real-time has significant implications for the energy-
optimal operations of electric vehicles (EVs). This study proposes a novel model for EV …
optimal operations of electric vehicles (EVs). This study proposes a novel model for EV …