TBSM: A traffic burst-sensitive model for short-term prediction under special events
Traffic prediction is an important management tool for traffic guidance and control and an
effective decision-making tool to help travelers plan routes and avoid congested road …
effective decision-making tool to help travelers plan routes and avoid congested road …
Robust platoon control in mixed traffic flow based on tube model predictive control
The design of cooperative adaptive cruise control is critical in mixed traffic flow, where
connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) coexist …
connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) coexist …
Approach for short-term traffic flow prediction based on empirical mode decomposition and combination model fusion
Z Tian - IEEE Transactions on Intelligent Transportation …, 2020 - ieeexplore.ieee.org
Accurate prediction of the traffic state can help to address the issue of traffic congestion,
providing guiding advices for people's travel and traffic regulation. In this paper, we propose …
providing guiding advices for people's travel and traffic regulation. In this paper, we propose …
Pattern sensitive prediction of traffic flow based on generative adversarial framework
Traffic flow prediction is one of the most popular topics in the field of the intelligent
transportation system due to its importance. Powered by advanced machine learning …
transportation system due to its importance. Powered by advanced machine learning …
Integrating the traffic science with representation learning for city-wide network congestion prediction
Recent studies on traffic congestion prediction have paved a promising path towards the
reduction of potential economic and environmental loss. However, at the city-wide scale …
reduction of potential economic and environmental loss. However, at the city-wide scale …
An end-to-end recommendation system for urban traffic controls and management under a parallel learning framework
A paradigm shift towards agile and adaptive traffic signal control empowered with the
massive growth of Big Data and Internet of Things (IoT) technologies is emerging rapidly for …
massive growth of Big Data and Internet of Things (IoT) technologies is emerging rapidly for …
Forecasting day-ahead traffic flow using functional time series approach
Nowadays, short-term traffic flow forecasting has gained increasing attention from
researchers due to traffic congestion in many large and medium-sized cities that pose a …
researchers due to traffic congestion in many large and medium-sized cities that pose a …
Control strategy for battery/flywheel hybrid energy storage in electric shipboard microgrids
Integrated power system combines electrical power for both ship service and electric
propulsion loads by forming a microgrid. In this article, a battery/flywheel hybrid energy …
propulsion loads by forming a microgrid. In this article, a battery/flywheel hybrid energy …
Advanced framework for microscopic and lane‐level macroscopic traffic parameters estimation from UAV video
Unmanned aerial vehicle (UAV) is at the heart of modern traffic sensing research due to its
advantages of low cost, high flexibility, and wide view range over traditional traffic sensors …
advantages of low cost, high flexibility, and wide view range over traditional traffic sensors …
Revealing heterogeneous spatiotemporal traffic flow patterns of urban road network via tensor decomposition-based clustering approach
Understanding the complex heterogeneity of traffic flow for the road network is of great
importance to relieving traffic congestion and designing traffic control strategies. This study …
importance to relieving traffic congestion and designing traffic control strategies. This study …