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Centralised Traffic Control and Green Light Optimal Speed Advisory Procedure in Mixed Traffic Flow: An Integrated Modelling Framework [chapter]

Roberta Di Pace, Chiara Fiori, Luigi Pariota, Facundo Storani
2020 Transportation Systems for Smart, Sustainable, Inclusive and Secure Cities [Working Title]  
The paper aims to develop an integrated modelling framework for urban network traffic control in the presence of connected and autonomous vehicles (CAVs).  ...  reference to the speed guidance, the GLOSA (Green Light Optimal Speed Advisory) procedure was considered.  ...  Acknowledgements We would like to thank the Municipality of Naples for the support provided.  ... 
doi:10.5772/intechopen.95247 fatcat:462htiegtrfmpguki44xvxxmte

Predictive Eco-driving Application Considering Real-world Traffic Flow

Tao Zhang, Yuan Zou, Xudong Zhang, Guodong Du, Ningyuan Guo
2020 IEEE Access  
Eco-approach and departure (EAD) systems in connected vehicles are capable of providing the speed recommendations to drivers so that vehicles can pass through successive intersections at the appropriate  ...  However, most of existing control strategies and global optimization algorithms for EAD systems have extremely high requirements for computational resources, which make EAD systems not easy to popularize  ...  Reference [11] used the neural network to predict the speed of vehicles ahead and estimate the optimal SPaT information system.  ... 
doi:10.1109/access.2020.2991538 fatcat:zwzgitttnzf77bqiljt5xd6q7q

Abstracts

2020 IEEE Transactions on Intelligent Vehicles  
The rapidly increasing connectedness of modern vehicles leads to new security challenges for intelligent connected vehicles (ICVs), where some potential attackers can achieve unauthorized access to gain  ...  First, an analysis of the functional attributes of all of the in-vehicle ECUs in an intelligent connected environment and a division of the functional attributes of the ECUs into five classifications are  ...  We experimentally demonstrate the effectiveness of our framework for an autonomous navigation system in indoor (on datasets from our ground vehicle) and outdoor environments (on Udacity dataset).  ... 
doi:10.1109/tiv.2020.3010142 fatcat:emuoyu7bdvghpisblhyzgeaxdi

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
This article presents a review of motion planning techniques over the last decade for autonomous vehicles driving on highways.  ...  Finally, this article overviews the current and future challenges of implementing motion planning algorithms in a mixed environment with both manually driven and autonomous vehicles.  ...  Placement Optimization of Multiple Lidar Sensors for Autonomous Vehicles T.-H. Kim and T.-H.  ... 
doi:10.1109/tits.2020.2989542 fatcat:hg6pjmk6zvfurjdqufxeslibpa

Environmental and Safety Impacts of Vehicle-to-Everything Enabled Applications: A Review of State-of-the-Art Studies [article]

Jianhe Du and Kyoungho Ahn and Mohamed Farag and Hesham Rakha
2021 arXiv   pre-print
With the rapid development of communication technology, connected vehicles (CV) have the potential, through the sharing of data, to enhance vehicle safety and reduce vehicle energy consumption and emissions  ...  Such highly efficient interchange of information among all participating parts in a CV environment will not only provide timely data to enhance the capacity of the transportation system but can also be  ...  ACKNOWLEDGMENT The authors would like to thank Georgios Efraimidis, Anne-Lise Thieblemont, and Jim Misner of Qualcomm for their input on the manuscript.  ... 
arXiv:2202.01675v1 fatcat:eje4znu6incd7f4nadh42bsctu

A systematic literature review of vehicle speed assistance in intelligent transportation system

Mehrdad Asadi, Mahmood Fathy, Hamidreza Mahini, Amir Masoud Rahmani
2021 IET Intelligent Transport Systems  
Up to now, a systematic literature review has not been presented to discover and evaluate the different vehicle speed assistance approaches for on-road vehicles in intelligent transportation systems.  ...  Due to the emergence of new technologies over the past decade, vehicle speed assistance systems in intelligent transportation systems have frequently been discussed.  ...  [63] have proposed an energy-efficient eco-driving control system for connected electric vehicles to adjust the speed optimally while keeping a minimum safe distance and obey a maximum speed limit to  ... 
doi:10.1049/itr2.12077 fatcat:n5m65a3b4zaudllk4n5vsqe3ua

A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance [article]

Marc Brittain, Xuxi Yang, Peng Wei
2020 arXiv   pre-print
Our proposed framework utilizes Proximal Policy Optimization (PPO) that we modify to incorporate an attention network.  ...  We investigate the feasibility of a new concept (autonomous separation assurance) and a new approach to push the sector capacity above human cognitive limitation.  ...  These approaches place the agent on a single vehicle and treat surrounding vehicles as part of the environment.  ... 
arXiv:2003.08353v2 fatcat:hm44oc67qzcv5eu7thq6gbab6a

Scanning the Issue

Azim Eskandarian
2022 IEEE transactions on intelligent transportation systems (Print)  
With the development of deep representation learning, the domain of reinforcement learning (RL) has become a powerful learning framework now capable of learning complex policies in high-dimensional environments  ...  in the real-world deployment of autonomous driving agents.  ...  A System Optimal Speed Advisory Framework for a Network of Connected and Autonomous Vehicles C. H. P. Nguyen, N. H. Hoang, S. Lee, and H. L.  ... 
doi:10.1109/tits.2022.3174254 fatcat:o6z3ncdkgbh5dmvvywtok7hwke

MPC-CSAS: Multi-Party Computation for Real-time Privacy-preserving Speed Advisory Systems [article]

Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor
2021 arXiv   pre-print
As a part of Advanced Driver Assistance Systems (ADASs), Consensus-based Speed Advisory Systems (CSAS) have been proposed to recommend a common speed to a group of vehicles for specific application purposes  ...  With Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) technologies and advanced control theories in place, state-of-the-art CSAS can be designed to get an optimal speed in a privacy-preserving  ...  As a special type of ISA, Consensus-based Speed Advisory Systems (CSAS) aim to recommend a consensus speed to a group of vehicles in a given area [4] , [5] .  ... 
arXiv:2101.06451v1 fatcat:hr4yzg3snza2tgiuvrlexynfq4

Traffic control and intelligent vehicle highway systems: a survey

L.D. Baskar, J. Hellendoorn, B. De Schutter, Z. Papp
2011 IET Intelligent Transport Systems  
In this paper, we present a survey on traffic management and control frameworks for IVHS. First, we give a short overview of the main currently used traffic control methods for freeways.  ...  Then, various traffic management architectures for IVHS such as PATH, Dolphin, Auto21 CDS, etc. are discussed and a comparison of the various frameworks is presented.  ...  Acknowledgements Research supported by the VIDI project "Multi-Agent Control of Large-Scale Hybrid Systems" (DWV.6188) of the Dutch Technology Foundation STW, Applied Science division of NWO and the Technology  ... 
doi:10.1049/iet-its.2009.0001 fatcat:riuaone5irfgliujdfxsc2uuzq

Merging Control Strategies of Connected and Autonomous Vehicles at Freeway On-Ramps: A Comprehensive Review [article]

Jie Zhu, Said Easa, Kun Gao
2022 arXiv   pre-print
The connected and autonomous vehicles (CAVs), with their capabilities of real-time communication and precise motion control, hold a great potential to facilitate ramp merging operation through enhanced  ...  On-ramp merging areas are typical bottlenecks in the freeway network, since merging on-ramp vehicles may cause intensive disturbances on the mainline traffic flow and lead to various negative impacts on  ...  For example, some strategies require Connected vehicles (CV) with on-board driver advisory systems, and some apply to autonomous vehicles (AV) with high-resolution sensors.  ... 
arXiv:2202.09457v1 fatcat:sgom7knb45h6lm66deedw4s3oa

Guest Editorial: Scientific Seminar of the Italian Association of Transport Academicians (SIDT) 2019

2020 IET Intelligent Transport Systems  
, automation of road vehicles, pedestrian and cycling modelling frameworks.  ...  The paper titled 'Coherence analysis of road safe speed and driving behaviour from floating car data' by Colombaroni et al. presents a general analysis framework for road safety centres, aimed at safety  ...  and smart roads connecting them, with the aim of presenting a traffic management system for self-driving cars (or, more generally, autonomous vehicles) which travel on the network.  ... 
doi:10.1049/iet-its.2020.0477 fatcat:27kjvlchpbgdbiimiqw3n5tycu

Scanning the Issue

Azim Eskandarian
2022 IEEE transactions on intelligent transportation systems (Print)  
The authors take into account the integration of blockchain and federated learning in vehicular networks as a direction for future research.  ...  This article first presents the state-of-the-art communication technologies, standards, and protocols in vehicular networks (either inter-vehicle networking or in-vehicle networking) along with several  ...  Girard Motivated by the need for simulation tools for testing, verification and validation of autonomous driving systems that operate in traffic consisting of both autonomous and humandriven vehicles,  ... 
doi:10.1109/tits.2022.3141513 fatcat:gvywr655cvgolg7rfjrqmt33b4

A Comprehensive Survey on Cooperative Intersection Management for Heterogeneous Connected Vehicles

Ashkan Gholamhosseinian, Jochen Seitz
2022 IEEE Access  
management methods for heterogeneous connected vehicles (CVs).  ...  In this paper, we take into account different types of intersections in terms of signalized, semi-autonomous (hybrid) and autonomous intersections and conduct a comprehensive survey on various intersection  ...  [44] developed a cooperative optimal speed advisory system to spare fuel consumption at the signalized intersections. Wang et al.  ... 
doi:10.1109/access.2022.3142450 fatcat:amvrhgdztfdmdmpdtnzrhpkxli

A Learning-Based Guidance Selection Mechanism for a Formally Verified Sense and Avoid Algorithm

Swee Balachandran, Viren Bajaj, Marco A. Feliu, Cesar A. Munoz, Maria C. Consiglio
2019 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC)  
This paper describes a learning-based strategy for selecting conflict avoidance maneuvers for autonomous unmanned aircraft systems.  ...  This paper provides a description of the technique and presents preliminary simulation results.  ...  In this framework, θ represents the weights and biases of a fully connected neural network.  ... 
doi:10.1109/dasc43569.2019.9081784 fatcat:olw3qcjlyjblhfpggpngmneuvq
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