Automated highway systems-an intelligent transportation system for the next century

Tomizuka, M.

doi:10.1109/isie.1997.651721

Cited by 9 publications

(6 citation statements)

References 18 publications

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“…Japan's ITS research and application development work mainly focuses on three aspects: the Vehicle Information and Communication System (VICS) [50], Electronic Toll Collection (ETC) [52] and the Advanced Highway System (AHS) [51]. VICS uses different methods wireless beacons, optical beacons and FM stereo channels at the same time, so it can provide the driver with the required information at any time and in any place.…”

Section: ) the Dsrc-based Vanet Test -Japanmentioning

confidence: 99%

Emerging Technologies for 5G-Enabled Vehicular Networks

Yang

Hua

2019

IEEE Access

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Internet of Vehicles is a specific application of Internet of Things technology in intelligent transportation systems, and has attracted attention of relevant research institutions, automobile manufacturers and communication technology suppliers all over the world. The US government has spent hundreds of millions of dollars on DSRC development, which is a technology that can help achieve V2V and V2I communications, and enable vehicles to communicate with intelligent traffic lights to mitigate traffic congestion and accidents or bad weather on the road. Automakers such as GM and Toyota have well deployed Wi-Fi-based DSRC technology. But with the continuous development of 5G and D2D communications, cellular technology tends to be a strong candidate for V2X communications..Although 5G communication technology does not yet have a unified standard, its related concepts and trends have been recognized by industry area. Automobile manufacturers represented by Ford and BMW expect to achieve a leap in automotive networking through 5G. In the face of the 5G era, the dispute between DSRC and LTE standards has become a hot topic in the field of car networking. DSRC, a dedicated short-range communication developed and tested by automotive technology suppliers is under threat, and the next generation of 5G technology might be the final answer. Based on this point, this paper firstly introduces the development history of the Internet of Vehicles communication standard, and analyzes the advantages and disadvantages of DSRC and cellular network communication technology. Then, the three core elements of the Internet of Vehicles (Node Performance, local Network, and Internet of Things) are discussed for the development trend of vehicle networking communication technology in the context of 5G. Finally, this chapter explains the impact of the development of 5G communication technology on the future development of vehicle networking, and proposes the possible development directions of future vehicle networking technologies. INDEX TERMS Intelligent transportation systems, vehicular and wireless technologies, Internet of Things, 5G, DSRC, SDN, mobile cloud computing, mobile edge computing. NOMENCLATURE Abbreviations Full name 3G magnetic flux 4G 3rd Generation 5G fifth-generation 5G-VANET 5G enabled vehicular ad hoc network AB Automotive Brain AHS Advanced Highway System AHS Automated Highway System The associate editor coordinating the review of this manuscript and approving it for publication was Zhen Ling.

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Section: ) the Dsrc-based Vanet Test -Japanmentioning

confidence: 99%

Emerging Technologies for 5G-Enabled Vehicular Networks

Yang

Hua

2019

IEEE Access

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“…e Automated Highway System (AHS) is a proposed intelligent transportation system (ITS) technology designed to increase capacity and safety with the increasingly severe traffic congestion since the last two decades. e basic idea is by grouping vehicles into platoons at closer spacing under automatic control, which cannot be achieved by human drivers alone, to increase the capacity on highways [1,2]. With the distances between vehicles becoming smaller, safety (or collision avoidance) is the first and foremost concern, which must be guaranteed for the AHS.…”

Section: Introductionmentioning

confidence: 99%

A New Approach to the Robust Control Design of Fuzzy Automated Highway Systems

Huang

Yang

Huang

et al. 2020

Mathematical Problems in Engineering

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In this paper, a new approach to the decentralized control design for vehicle platooning for uncertain automated highway systems is proposed. The uncertainty in the system, which is nonlinear and (possibly) fast time-varying, is bounded. The bound is assumed to be within a prescribed fuzzy set. A creative transformation is made to the system, which converts a local problem to a global problem. Based on the fuzzy description of the uncertainty bound and the transformation, a class of decentralized control is proposed in which each vehicle only needs the knowledge of its preceding vehicle in the platoon. No acceleration feedback or the information of the leading vehicle is required. Both the vehicle platooning system and the control are deterministic, hence not if-then fuzzy rule-based. The performance of the resulting controlled system is twofold. First, the collision avoidance performance is guaranteed under any safe initial conditions regardless of the value of the uncertainty. Second, the minimization of a fuzzy-based performance index is guaranteed based on an optimal choice of a control design parameter. Numerical simulations are conducted to validate the efficiency of the proposed algorithm.

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“…With the development of technology and the seriousness of the traffic congestion problem, a great deal of research was performed to explore the intelligent transportation system in the past two decades [1][2][3] the contribution to the traffic congestion problem, the study on the intelligent transportation can also reduce the fuel consumption and increase the driving safety [4][5][6]. The main objective of this paper is to regulate the vehicle-vehicle space through control design.…”

Section: Introductionmentioning

confidence: 99%

Robust Approximate Constraint‐Following Control for Autonomous Vehicle Platoon Systems

Zhao¹,

Chen²,

Zhao³

2017

Asian Journal of Control

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We consider an autonomous vehicle platoon system consisting of N + 1 vehicles in the presence of modeling uncertainty. The uncertainty may be due to parameter variations, aerodynamics, external disturbances, etc., which is nonlinear and time-varying. Subject to the collision avoidance consideration, the original state is one-sided restricted. To resolve this restriction, we propose a state transformation to convert the bounded state into a globally unbounded state. Furthermore, motivated by the properties of artificial swarm systems, we incorporate the swarm system performance into the platoon system by treating it as a d'Alembert's constraint. By the Udwadia and Kalaba's approach, we obtain the analytic (closed-form) expression of the constraint force. Based on this, a class of robust controls for each vehicle (except the leading vehicle) is proposed to drive the platoon system to follow the ideal swarm model. Four major system performances are accomplished: (i) compact vehicle formation, (ii) collision avoidance, (iii) stable platoon system formation, (iv) global behavior.

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Automated highway systems-an intelligent transportation system for the next century

Cited by 9 publications

References 18 publications

Emerging Technologies for 5G-Enabled Vehicular Networks

Emerging Technologies for 5G-Enabled Vehicular Networks

A New Approach to the Robust Control Design of Fuzzy Automated Highway Systems

Robust Approximate Constraint‐Following Control for Autonomous Vehicle Platoon Systems

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