Interaction of Driver Behavior, Geometric Design and Vehicle Movement on Acceleration Lanes on Urban Freeways in Kansas PDF Download

Author: Larry Alan Lewis
Publisher:
ISBN:
Category : Express highways
Languages : en
Pages : 208

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Author:
Publisher:
ISBN:
Category : Highway engineering
Languages : en
Pages : 394

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Author:
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 318

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Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 170

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Author: Herbert Henry Beckwith
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 642

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Author: Kay Fitzpatrick
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 144

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TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 299: Recent Geometric Design Research for Improved Safety and Operations reviews and summarizes selected geometric design research published during the 1990s, particularly research with improved safety and operations implication.

Author: Kansas. State University of Agriculture and Applied Science, Manhattan. Division of College Extension
Publisher:
ISBN:
Category : Agricultural extension work
Languages : en
Pages : 400

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Author: Marcus Brewer
Publisher: Transportation Research Board
ISBN: 0309223598
Category : Technology & Engineering
Languages : en
Pages : 90

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Book Description
RB’s National Cooperative Highway Research Program (NCHRP) Synthesis 432: Recent Roadway Geometric Design Research for Improved Safety and Operations reviews and summarizes roadway geometric design literature completed and published from 2001 through early 2011, particularly research that identified impacts on safety and operations.

Author:
Publisher:
ISBN: 9789745310681
Category : Automobile driving
Languages : en
Pages :

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Car following is the major driving task reflecting individual vehicle movements and interactions among vehicles in a single lane, resulting in overall characteristics of traffic flow. Thus, determination of the driver's behavior is fundamental to accurate explanation of traffic flow. In this research, the driver's behavior was determined under different traffic conditions in Thailand, especially expressway and surface street using GPS technology. The vehicle trajectories were collected by RTK-GPS device at 0.1 second interval with accuracy of less than +- 1 cm. The speed and acceleration profile were then constructed. Drivers behaviors described in the GM car following model parameters, namely reaction time and sensitivity parameters, were determined using Graphical method and Linear regression method, respectively. The results indicate that the reaction time of a driver varies by traffic and road conditions. In congested traffic condition, the reaction time for acceleration is longer than that for deceleration. However, the reaction time for acceleration is shorter than that for deceleration in uncongested traffic condition. The result of the 5th GM model calibration shows that the sensitivity parameter of drivers is inconsistent. Compared among subject drivers, some drivers are more aggressive in a more critical (close spacing, high speed) situation but less aggressive in a non-critical situation. The research brings about the better understanding of driver's behaviors.

Author: Cheng-Chen Kou
Publisher:
ISBN:
Category : Automobile drivers
Languages : en
Pages : 314

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The major objective of this study is to develop empirical methodologies for modeling ramp driver acceleration-deceleration and gap acceptance behavior during freeway merge maneuvers. A large quantity of freeway merge data were collected from several entrance ramps including both parallel and taper type acceleration lanes capturing a wide traffic flow range to suit different analysis purposes. Comprehensive freeway merge traffic analyses were conducted using the collected data. Both graphical presentations and independence tests in contingency tables indicated that ramp vehicle merge behavior is insignificantly related to any single traffic parameter, such as ramp vehicle approach speeds, freeway flow levels, and speed differentials as well as time or distance gaps between ramp vehicles and surrounding freeway and ramp vehicles. Combination forms of these traffic parameters were found to be better indicators for modeling freeway merge driver behavior. Initially, ramp vehicle acceleration-deceleration behavior models were conceptually formulated as extended forms of conventional nonlinear car-following models incorporating joint freeway and ramp vehicle effects. These sophisticated nonlinear specifications, although theoretically attractive, have been proven to be infeasible to predict dynamic ramp vehicle acceleration-deceleration rates. A multinomial probit model, using speed differentials, distance separations of ramp vehicles to corresponding freeway and ramp vehicles, distance to the acceleration lane terminus, and Markov indexes as attributes, predicted ramp driver acceleration, deceleration, or constant speed choice behavior. The resulting acceleration or deceleration rate magnitudes were predicted by a family of exponential curves using ramp vehicle speed as an explanatory variable. Calibration results of a binary logit gap acceptance function indicated that perceived ramp driver angular velocity to a corresponding freeway lag vehicle and remaining distance to the acceleration lane end are the best gap acceptance decision criteria.