Progress and challenges in intelligent vehicle area networks

Faezipour, Miad; Nourani, Mehrdad; Saeed, Adnan; Addepalli, Sateesh

doi:10.1145/2076450.2076470

Cited by 158 publications

(76 citation statements)

References 27 publications

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“…From early systems only relying on driver intentions and input, through steering wheel, brake pedal, and throttle actuation, to now having enough available information to analyze the surrounding environment, analyze the situation, and make active decisions on its own. The additional information comes from the technological advancements earlier mentioned, in shape of new and improved sensors, more powerful computational hardware, as well as shared information from vehicle-to-vehicle and vehicle-to-road-side communication, (Faezipour et al, 2012). Also actuator components have seen a lot of progress, where for example electronic steering systems, often intended for self-parking applications, become more popular in passenger cars.…”

Section: Emerging Active-safety Systemsmentioning

confidence: 99%

Models and Critical Maneuvers for Road Vehicles

Lundahl

2016

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The cover: The cover illustration is based on an "accidental" photograph (he claims) taken at Mantorp Park by Viktor Svensson, here used with his permission. Typeset with L A T E X 2εPrinted by LiU-Tryck, Linköping, Sweden 2016 i AbstractAs manufacturers are pushing their research and development toward more simulation based and computer aided methods, vehicle dynamics modeling and simulation become more important than ever. The challenge lies in how to utilize the new technology to its fullest, delivering the best possible performance given certain objectives and current restrictions. Here, optimization methods in different forms can be a tremendous asset. However, the solution to an optimization problem will always rely on the problem formulation, where model validity plays a crucial role. The main emphasis in this thesis lies within methodology and analysis of optimal control oriented topics for safety-critical road-vehicle maneuvers. A crucial element here is the vehicle models. This is investigated as a first study, evaluating the degree to which different model configurations can represent the lateral vehicle dynamics in critical maneuvers, where it is shown that even the low-complexity models describe the most essential vehicle characteristics surprisingly well.How to formulate the optimization problems and utilize optimal control tools is not obvious. Therefore, a methodology for road-vehicle maneuvering in safety-critical driving scenarios is presented, and used in evaluation studies of various vehicle model configurations and different road-surface conditions. It was found that the overall dynamics is described similarly for both the highand low-complexity models, as well as for various road-surface conditions.If more information about the surroundings is available, the best control actions might differ from the ones in traditional safety systems. This is also studied, where the fundamental control strategies of classic electronic stability control is compared to the optimal strategy in a safety-critical scenario. It is concluded that the optimal braking strategy not only differs from the traditional strategies, but actually counteracts the fundamental intentions from which the traditional systems are based on.In contrast to passenger cars, heavy trucks experience other characteristics due to the different geometric proportions. Rollover is one example, which has to be considered in critical maneuvering. Model configurations predicting this phenomenon are investigated using optimal control methods. The results show that the simple first go-to models have to be constrained very conservatively to prevent rollover in more rapid maneuvers.In vehicle systems designed for path following, which has become a trending topic with the expanding area of automated driving, the requirements on vehicle modeling can be very high. These requirements ultimately depend on several various properties, where the path restrictions and path characteristics are very influential factors. The interplay between these path prop...

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Section: Emerging Active-safety Systemsmentioning

confidence: 99%

Models and Critical Maneuvers for Road Vehicles

Lundahl

2016

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“…Ubiquitous vehicular communication can nevertheless be achieved [3] through heterogeneous use of micro cells served by roadside units (RSUs) within a macro cell [4] where the RSUs enable higher data rates [2]. The roadside units (RSUs) are dedicated wireless communication devices which communicate with vehicles within short range and therefore provide each other with information, such as safety warnings, locations and traffic.…”

Section: Introductionmentioning

confidence: 99%

Sleep-enabled roadside units for motorway vehicular networks

Bhattacharya

Qazi

Muhtar

et al. 2017

Vehicular Communications

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. energy savings and 7.3 ms average packet delay over the day, resulting in respective improvements of 10% and 28% compared to the existing random sleep cycles. These improvements have been achieved under a very conservative operating delay bound for audio conferencing applications. However, modern compression and codecs, due to their leniency on Quality of Service (QoS), would potentially enable higher energy savings through the proposed sleep cycles.

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“…Through this infrastructure, vehicles can access network services and obtain data from other networks, such as the Internet. Due to this nature, VA N E T s c a n b e e s t a b l i s h e d i n d i f f e r e n t e n v i r o n m e n t s s u c h a s in urban centers and highways [1], [2].…”

Section: Introduction Ve H I C U L a R A D H O C N E T Wo R K S ( mentioning

confidence: 99%

“…An important application of this network is to alert the drivers about road conditions and imminent crashes. Recent studies show that 60% of car crashes could be avoided if the drivers were warned just few seconds before the collision [2]. In this context, the interaction among vehicles can strongly contribute to broadcast an alert message reducing the crash ratio [3].…”

Section: Introduction Ve H I C U L a R A D H O C N E T Wo R K S ( mentioning

confidence: 99%

Is it possible to find social properties in vehicular networks?

Cunha

Vianna

Mini

et al. 2014

2014 IEEE Symposium on Computers and Communications (ISCC)

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Abstract-Everyday, vehicles transit in a city and along their trajectories, they encounter other vehicles. The frequencyo f these encounters is influenced by many factors, such as: vehicle speed, destinations, traffic conditions, and the period of the day. However, these factors are justified by the public roads limits and the driver's behavior. The people present daily routinesa n d similar behaviors that have a great impact in the daily traffic evolution. In this work, we present a numerical analysis of real and realistic data sets that describe the mobility of a set of vehicles. Social metrics are computed, and the results obtained are compared to random graphs in the direction to verify if vehicular network presents a social behavior. Finally, we discuss new social perspectives in vehicular networks.

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Progress and challenges in intelligent vehicle area networks

Abstract: Vehicle area networks form the backbone of future intelligent transportation systems.

Cited by 158 publications

References 27 publications

Models and Critical Maneuvers for Road Vehicles

Models and Critical Maneuvers for Road Vehicles

Sleep-enabled roadside units for motorway vehicular networks

Is it possible to find social properties in vehicular networks?

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