Reinforcement Learning Assisted Triboelectric Self‐Regulating Intelligent Transportation System
Sign Up to like & getrecommendations! Published in 2025 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202509144
Abstract: Real‐time vehicle detection and adaptive traffic signal timings control are essential for intelligent traffic management systems, aimed at improving road utilization and enhancing traffic safety. However, conventional traffic monitoring equipment often requires additional power sources… read more here.
Keywords: system; vehicle; intelligent transportation; self ... See more keywords
DTCR: delay time aware controlled rebroadcasting mechanism for intelligent transportation systems
Sign Up to like & getrecommendations! Published in 2021 at "Soft Computing"
DOI: 10.1007/s00500-021-06021-8
Abstract: Mobile ad hoc networks include VANETs (vehicular ad hoc networks) characterized to enhance vehicles’ wireless connectivity. In intelligent transportation systems (ITS), information can be exchanged over long distances as long as a means of retransmission… read more here.
Keywords: delay time; transportation systems; time aware; aware controlled ... See more keywords
An Intelligent Transportation System Application for Smartphones Based on Vehicle Position Advertising and Route Sharing in Vehicular Ad-Hoc Networks
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Computer Science and Technology"
DOI: 10.1007/s11390-018-1817-4
Abstract: Alerting drivers about incoming emergency vehicles and their routes can greatly improve their travel time in congested cities, while reducing the risk of accidents due to distractions. This paper contributes to this goal by proposing… read more here.
Keywords: transportation system; vehicular hoc; vehicle; application ... See more keywords
Speed-guided intelligent transportation system helps achieve low-carbon and green traffic: Evidence from real-world measurements
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2020.122230
Abstract: Abstract Intelligent transportation systems (ITS) have emerged as essential measures to manage traffic congestion and to reduce vehicular emission and energy consumption, while their effectiveness has not been directly quantified under real-world driving conditions. By… read more here.
Keywords: traffic; real world; intelligent transportation; world measurements ... See more keywords
Discovering spatio-temporal dependencies based on time-lag in intelligent transportation data
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.06.084
Abstract: Abstract Learning spatio-temporal dependency structure is meaningful to characterize causal or statistical relationships. In many real-world applications, dependency structure is often characterized by time-lag between variables. For example, traffic system and climate, time lag is… read more here.
Keywords: spatio temporal; temporal dependencies; time; time lag ... See more keywords
Towards an integrated urban development considering novel intelligent transportation systems
Sign Up to like & getrecommendations! Published in 2020 at "Technological Forecasting and Social Change"
DOI: 10.1016/j.techfore.2020.119970
Abstract: Abstract Urban areas are currently facing new and enormous challenges: urbanization, connected and automated land and air transport with new demand for transport and logistic services, maintenance of more complex traffic and supply infrastructure as… read more here.
Keywords: transportation systems; integrated urban; towards integrated; intelligent transportation ... See more keywords
DDoS attack detection in intelligent transport systems using adaptive neuro-fuzzy inference system
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-06719-x
Abstract: An intelligent transportation system consists of a variety of applications that analyze and exchange information to reduce traffic, enhance traffic management, lessen the impact on the environment, and boost the advantages of transportation for both… read more here.
Keywords: system; attack detection; transportation; intelligent transportation ... See more keywords
Crowd intelligence for sustainable futuristic intelligent transportation system: a review
Sign Up to like & getrecommendations! Published in 2020 at "Iet Intelligent Transport Systems"
DOI: 10.1049/iet-its.2019.0321
Abstract: Connected vehicles and fully automated driving systems are the main objectives of the future transportation system. A safe interactive system that interacts with people and things is essential to achieve these objectives. In this context,… read more here.
Keywords: transportation system; system; crowd intelligence; intelligent transportation ... See more keywords
TrustChain‐VANETs: Blockchain and IPFS Integration for Reliable and Secure Vehicular Communication in Intelligent Transportation Systems (ITS)
Sign Up to like & getrecommendations! Published in 2025 at "IET Intelligent Transport Systems"
DOI: 10.1049/itr2.70051
Abstract: Vehicular ad‐hoc networks (VANETs) are pivotal in intelligent transportation systems (ITS), enabling enhanced traffic efficiency and safety. However, VANETs within ITS face critical challenges related to trust, privacy, and data reliability. To address these issues,… read more here.
Keywords: transportation systems; privacy; reliability; intelligent transportation ... See more keywords
Collaborative Optimisation of Grey‐Markov Modelling and Adversarial Meta‐Learning for Resilient Intelligent Transportation Systems
Sign Up to like & getrecommendations! Published in 2025 at "IET Intelligent Transport Systems"
DOI: 10.1049/itr2.70119
Abstract: To enhance the robustness and interpretability of road‐accident prediction under sparse, noisy, and dynamically evolving conditions, this study proposes a Multimodal Grey‐Markov and Adversarial Meta‐Learning (MGMC‐AML) framework. The model integrates grey relational analysis for adaptive… read more here.
Keywords: meta; adversarial meta; intelligent transportation; meta learning ... See more keywords
Optimising logistics in intelligent transportation systems through CNN-IT: a convolutional neural network approach for enhanced efficiency and precision
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Engineering Design"
DOI: 10.1080/09544828.2024.2333196
Abstract: This study addresses the critical challenge of optimising logistics within intelligent transportation systems (ITS) by introducing a novel approach leveraging convolutional neural network-IT (CNN-IT). The overarching objective is to enhance the efficiency and precision of… read more here.
Keywords: convolutional neural; optimising logistics; precision; transportation systems ... See more keywords