Path planning method with improved artificial potential field—a reinforcement learning perspective

Q Yao, Z Zheng, L Qi, H Yuan, X Guo, M Zhao… - IEEE …, 2020 - ieeexplore.ieee.org
The artificial potential field approach is an efficient path planning method. However, to deal
with the local-stable-point problem in complex environments, it needs to modify the potential …

Multiobjective U-shaped disassembly line balancing problem considering human fatigue index and an efficient solution

X Guo, T Wei, J Wang, S Liu, S Qin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The progress of science and technology speeds up the replacement of products and
produces a large number of end-of-life products. Traditional incineration causes a waste of …

Progressive lidar adaptation for road detection

Z Chen, J Zhang, D Tao - IEEE/CAA Journal of Automatica …, 2019 - ieeexplore.ieee.org
Despite rapid developments in visual image-based road detection, robustly identifying road
areas in visual images remains challenging due to issues like illumination changes and …

Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

R Aleksander, C Paweł - IET Intelligent Transport Systems, 2020 - Wiley Online Library
Over the past few decades, the increasing number of vehicles and imperfect road traffic
management have been sources of congestion in cities and reasons for deteriorating health …

A systematic review on urban road traffic congestion

U Jilani, M Asif, MYI Zia, M Rashid, S Shams… - Wireless Personal …, 2023 - Springer
The city's infrastructure is considered the backbone of any country's development process
and there are numerous factors that contribute to its growth. Among these factors, proper …

[HTML][HTML] An optimal control strategy for emergency vehicle priority system in smart cities using edge computing and IOT sensors

P Rosayyan, J Paul, S Subramaniam, SI Ganesan - Measurement: Sensors, 2023 - Elsevier
Smart city mission is a concept which improves economic growth and quality of life of people
by using Information and Communication Technology (ICT). Smart cities collect data from …

Multiobjective Multiverse Optimizer for Multirobotic U-Shaped Disassembly Line Balancing Problems

S Qin, S Zhang, J Wang, S Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The development of technology accelerates the upgrade of products, which results in a
significant number of obsolete products. This research aims to solve the multirobotic …

Fine-grained traffic flow prediction of various vehicle types via fusion of multisource data and deep learning approaches

P Wang, W Hao, Y Jin - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Both road users and road administrators are keen to know traffic flow of fine-grained vehicle
type. Successful prediction on the traffic flow of heavy, medium and small vehicle could …

Novel formulations and improved differential evolution algorithm for optimal lane reservation with task merging

P Wu, L Xu, A D'Ariano, Y Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper investigates a new lane reservation problem with task merging that consists of
optimally determining which lanes in a transportation network have to be reserved and …

Load-in-load-out AGV route planning in automatic container terminal

Y Xu, L Qi, W Luan, X Guo, H Ma - Ieee Access, 2020 - ieeexplore.ieee.org
Efficient automatic guided vehicle (AGV) scheduling is the key to increase the throughput of
automated container terminals. Traditional transport strategies cannot guarantee that AGVs …