نتایج جستجو برای: intelligent driver model idm

تعداد نتایج: 2189548  

Journal: :IEEE Access 2022

The nature of decision making in healthcare is complex and crucial. It essential to have a tool that helps with accurate correct decisions based on real-time data. Moreover, the process itself complex, comprising various stages from primary palliative, closely related each other, different depending type disease. Each stage has crucial be made relying other stages’ decisions. Thus, an intellige...

Journal: :Human factors 2007
Dario D. Salvucci Hiren M. Mandalia Nobuyuki Kuge Tomohiro Yamamura

OBJECTIVE This paper introduces a robust, real-time system for detecting driver lane changes. BACKGROUND As intelligent transportation systems evolve to assist drivers in their intended behaviors, the systems have demonstrated a need for methods of inferring driver intentions and detecting intended maneuvers. METHOD Using a "model tracing" methodology, our system simulates a set of possible...

2007
S. Fuchs B. Lamprecht M. Bellino

Over the past decade, the automotive industry has made many efforts to improve the comfort and first and foremost the safety of passenger cars. So-called driver assistance systems have been developed, which support the driver in his task of controlling (steering, breaking ...) a vehicle. Present-day assistance systems are entrusted with complex driving manoeuvres and are expected to operate cor...

2001
Kailash P. Thakur

Abstract: A driver-vehicle interaction model consisting of a closed loop system, developed recently, has been used to simulate the behaviour of drivers having different values of driver error and driver day dream factors. Concept of Risk Time, Driver Error and Driver Daydream Factors is presented and used to evaluate the vehicle-driver model. A process cycle of a driver-vehicle model is set up ...

2007
Arne Kesting Martin Treiber

The car-following behavior of individual drivers in real city traffic is studied on the basis of (publicly available) trajectory datasets recorded by a vehicle equipped with an radar sensor. By means of a nonlinear optimization procedure based on a genetic algorithm, we calibrate the Intelligent Driver Model and the Velocity Difference Model by minimizing the deviations between the observed dri...

Journal: :international journal of transportation engineering 0
mohsen poor arab moghadam msc. student in gis division, school of surveying and geospatial eng., college of engineering, university of tehran, tehran, iran parham pahlavani assistant professor, center of excellence in geomatics engineering in disaster management, school of surveying and geospatial engineering., college of engineering, university of tehran, tehran, iran saber naseralavi assistant professor, department of civil engineering, shahid bahonar university of kerman, kerman, iran.

car-following models are among the most important components of micro traffic flow simulation which is studiedby transportation experts to evaluate new applications of intelligent transportation systems. until now, several carfollowingmodels have been proposed. an obvious disadvantage of the former models is the great number of parameterswhich are difficult to calibrate. in this paper, a car-fo...

Journal: :Acta Polytechnica CTU Proceedings 2017

Journal: :IEEE Intelligent Systems 2001
Massimo Cellario

78 1094-7167/01/$10.00 © 2001 IEEE IEEE INTELLIGENT SYSTEMS avoidance technologies, enhance the driver’s ability to sense the surrounding environment. Driver assistance and automation technologies simulate the driver’s sensorimotor system to operate a vehicle either temporarily during emergencies or for prolonged periods. Such new information and control technologies that make vehicles smarter ...

Journal: :International Journal of Research in Engineering and Technology 2014

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