Modeling the Need for Autonomous Mobility-on-Demand Among Older Adults: A Case Study of Winnipeg
This research paper uses agent-based modeling to estimate the potential demand for an autonomous mobility-on-demand (AMoD) system tailored to the needs of older adults in Winnipeg, Canada, highlighting the importance of considering demographic factors and spatial heterogeneity in transportation planning.
Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequences
Utilizing street-view video sequences for constructing time-space diagrams offers valuable insights into traffic patterns and transportation infrastructure design.
Deep Learning for Traffic Flow Prediction using Cellular Automata-based Model and CNN-LSTM Architecture
Deep learning with CNN-LSTM architecture enhances traffic flow prediction using cellular automata-based models.
Dynamic Programming for Traffic Estimation in Road Networks
Estimating traffic demands and paths in road networks using Dynamic Programming.
Incentive-Compatible Vertiport Reservation Mechanism for Advanced Air Mobility
Designing an incentive-compatible vertiport reservation mechanism for efficient coordination in advanced air mobility.
Optical Flow Based Detection and Tracking of Moving Objects for Autonomous Vehicles
Optical flow technique improves moving object detection and tracking for autonomous vehicles.
An Exact Solution for Allocating Car Parking Spaces on Campus
Optimizing car parking allocation on university campuses.
Learning Traffic Signal Control via Genetic Programming: A New Approach for Efficient Traffic Signal Control
Proposing a new approach using genetic programming for efficient and explainable traffic signal control.
EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning
Reinforcement learning improves safety, efficiency, and stability in mixed traffic.
A Comprehensive Study on Traffic Management for On-Demand Urban Air Mobility Systems
Efficient traffic management is crucial for the operation of on-demand urban air mobility systems, maximizing throughput and reducing passenger waiting times.
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