Intelligent Transport Systems in Europe

McDonald, Michael; Hall, R D; Keller, Hartmut; Hecht, Christoph; Fakler, Oliver; Klijnhout, Job; Mauro, Vito; Spence, Angela

doi:10.1142/6281

Cited by 27 publications

(4 citation statements)

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“…It is very useful in an emergency case to quickly and Journal for ReAttach Therapy and Developmental Diversities eISSN: 2589-7799 2023 August; 6(1): 1526-1533 automatically report a vehicle location to a rescue agent when an accident happens to the vehicle [19]. The tracking system is also needed for Intelligent Transportation System (ITS) [20].…”

Section: Vehicle Trackingmentioning

confidence: 99%

RFID Sensing & Its DATA Analysis Using Micro-Controller For Vehicle Security & Its Tracking

Patel,

Katariya,

Upadhyay

2023

jrtdd

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In this paper, the state-of-the-art technology for Vehicle Tracking (VT) and Vehicle Security (VS) using RFID is studied in reference to Indian scenario. The paper shows the basic and cheaper hardware which can be used for the VT & VS of the vehicle in Indian Market. However, the state-of-the-art technology for RFID is better for several reasons because of its numerous advantages which are also mentioned in this study. Apart from that the use of RFID and other technology for Tracking and Security is discussed separately which are discussed by several research groups within last decade. This paper represents the VT & VS using RFID EM-18 and found effective way of communication for the same.

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Section: Vehicle Trackingmentioning

confidence: 99%

RFID Sensing & Its DATA Analysis Using Micro-Controller For Vehicle Security & Its Tracking

Patel,

Katariya,

Upadhyay

2023

jrtdd

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“…If more than two pairs are proved to be matched, the detected line may be a true one. Before SAD calculation, both regions should be scaled into the same size of m*n. The SAD is defined as 1 1 …”

Section: Vision-based Lateral Deviationmentioning

confidence: 99%

“…Vehicle positioning is becoming a critical component in intelligent transportation system (ITS) [1] where a number of parameters related to the vehicle's state such as position, velocity and orientation are required by applications such as vehicle navigation, safety system and traffic management. With the increasing number of vehicles all over the world, vehicle positioning and navigation have become a hot topic in the area of sensor research.…”

Section: Introductionmentioning

confidence: 99%

Lane Level Vehicle Positioning Based on Integrated Multi-sensor Fusion

Yang¹,

Jiang²

2016

dtetr

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A lane level vehicle positioning system is designed based on integrated multisensor fusion which can be provided by a smart phone. Traditional vehicle positioning is always based on a low-precision global position system (GPS) which has gross error. This paper makes full use of a smart phone, using its sensors such as camera, low-precision GPS and accelerometer, to provide lane level positioning for a car when the lane line can be detected. GPS-based lateral deviation is calculated, with the help of the prior knowledge of roads. Then, multiple lanes are detected using visual approach and vision-based lateral deviation is calculated based on the results of lane detection. Both lateral deviations are fused using a Kalman filter, with the help of accelerometer, to estimate the current location. Experimental results using real vehicle experiments indicate the effectiveness of our system. Comparison between our system and high-precision RTK-DGPS is also given in the experimental results.

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“…The current trends of Intelligent Transport Systems (ITS) and their applications concerning intelligent cars include advancements in Adaptive Cruise Control (ACC), Obstacle Warning, Avoidance Mechanism, Lane Detection and Collision Notification, which all contribute towards making travel more comfortable and safe [1]. In [2,3] it is reiterated that sustainable ITS application will enable the reduction in carbon dioxide and heat emission as traffic volume is reduced and managed. Research and development in the sector of Autonomous Vehicles (AVs) is being done worldwide.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Vehicles as Local Traffic Optimizers

Bhatia¹,

Ivanchev²,

Eckhoff³

et al. 2020

Lecture Notes in Computer Science

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This paper explores the interaction between autonomous and human-driven cars on a microscopic level using an agent-based traffic simulator. More specifically, it deals with the design of driving logic models of "socially-aware" autonomous vehicles that can improve the performance of surrounding vehicles on the road. Congestion waves, which are created as a result of an abrupt stopping or a car joining a highway, are a known phenomenon in current traffic systems. Experiments performed, demonstrate how the presence of intelligent social vehicles on the road can reduce such effects by acting as a flexible medium between humandriven cars. Metrics to evaluate benefits ot our AV behaviour models under various states of traffic conditions/congestion are also proposed. Finally, results showing the effectiveness of these models are presented.

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Intelligent Transport Systems in Europe

Cited by 27 publications

References 0 publications

RFID Sensing & Its DATA Analysis Using Micro-Controller For Vehicle Security & Its Tracking

RFID Sensing & Its DATA Analysis Using Micro-Controller For Vehicle Security & Its Tracking

Lane Level Vehicle Positioning Based on Integrated Multi-sensor Fusion

Autonomous Vehicles as Local Traffic Optimizers

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