Traffic state estimation on highway: A comprehensive survey
Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …
(ie, flow, density, speed and other equivalent variables) on road segments using partially …
A review of travel time estimation and forecasting for advanced traveller information systems
U Mori, A Mendiburu, M Álvarez… - … A: Transport Science, 2015 - Taylor & Francis
Due to the increase in vehicle transit and congestion in road networks, providing information
about the state of the traffic to commuters has become a critical issue for Advanced Traveller …
about the state of the traffic to commuters has become a critical issue for Advanced Traveller …
Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication in a heterogeneous wireless network–Performance evaluation
Abstract Connected Vehicle Technology (CVT) requires wireless data transmission between
vehicles (V2V), and vehicle-to-infrastructure (V2I). Evaluating the performance of different …
vehicles (V2V), and vehicle-to-infrastructure (V2I). Evaluating the performance of different …
Prediction of EV charging behavior using machine learning
As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are
becoming increasingly popular for their contribution in reducing greenhouse gas emissions …
becoming increasingly popular for their contribution in reducing greenhouse gas emissions …
Travel time estimation for urban road networks using low frequency probe vehicle data
E Jenelius, HN Koutsopoulos - Transportation Research Part B …, 2013 - Elsevier
The paper presents a statistical model for urban road network travel time estimation using
vehicle trajectories obtained from low frequency GPS probes as observations, where the …
vehicle trajectories obtained from low frequency GPS probes as observations, where the …
A customized deep learning approach to integrate network-scale online traffic data imputation and prediction
Online data imputation and traffic prediction based on real-time data streams are essential
for the intelligent transportation systems, particularly online navigation applications based …
for the intelligent transportation systems, particularly online navigation applications based …
Monitoring road traffic with a UAV-based system
Unmanned Aerial Vehicles (UAVs) are becoming an attractive solution for road traffic
monitoring because of their mobility, low cost, and broad view range. Up to now, existing …
monitoring because of their mobility, low cost, and broad view range. Up to now, existing …
A survey on visual traffic simulation: Models, evaluations, and applications in autonomous driving
Virtualized traffic via various simulation models and real‐world traffic data are promising
approaches to reconstruct detailed traffic flows. A variety of applications can benefit from the …
approaches to reconstruct detailed traffic flows. A variety of applications can benefit from the …
[HTML][HTML] Regional route guidance with realistic compliance patterns: Application of deep reinforcement learning and MPC
Solving link-based route guidance problems for large-scale networks is computationally
challenging and faces practical issues, such as spatial–temporal data coverage. Thus …
challenging and faces practical issues, such as spatial–temporal data coverage. Thus …
Decentralized autonomous navigation of a UAV network for road traffic monitoring
With the increase of population and the fast growth of private vehicle ownership in urban
areas, many roads have become more congested than ever before. The road traffic …
areas, many roads have become more congested than ever before. The road traffic …