Modeling Driving Behavior at Traffic Control Devices PDF Download

Author: Abhisek Mudgal
Publisher:
ISBN:
Category :
Languages : en
Pages : 99

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Author: Hari Narayanan Vijaya Raghavan Nadathur
Publisher:
ISBN:
Category : Automobile drivers
Languages : en
Pages : 64

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Book Description
"A variety of methods are used by Departments of Transportation (DOT) for informing drivers about upcoming work zones. One such method is work zone signage configuration. Signage plays an important role in work zones to provide guidance to drivers when conditions on the road vary from normal. Therefore, it is necessary to evaluate the effectiveness of different configurations, by law, before implementation of new signage designs that deviate from the national standards. The Manual on Uniform Traffic Control Devices (MUTCD) is a compilation of national standards for all traffic control devices, including road markings, highway signs, and traffic signals. In the present work which is funded by the Missouri Department of Transportation (MoDOT), the safety effect of an alternative merge sign configuration provided by MoDOT is investigated in a freeway work zone. This investigation is based on a simulation study that involves a total of 75 study participants representing an overall distribution of drivers in the state of Missouri. This simulation study required the participants to experience four work zone configurations on a driving simulator. Right merge and left merge scenarios were simulated for two work zone sign configurations, one being the national standard from MUTCD and the other being an alternate work zone sign configuration proposed by MoDOT. The objective of this study is to establish the effectiveness of both these configurations by data analyses. Results of the statistical analysis indicate that MUTCD left merge was significantly different than the driving patterns for the other three scenarios. There was significant difference between MUTCD left merge and MoDOT alternate left merge but no dramatic differences were observed for the right merge scenarios"--Abstract, page iii.

Author: Xiaolin Song
Publisher: Springer Nature
ISBN: 3031015096
Category : Technology & Engineering
Languages : en
Pages : 160

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A road traffic participant is a person who directly participates in road traffic, such as vehicle drivers, passengers, pedestrians, or cyclists, however, traffic accidents cause numerous property losses, bodily injuries, and even deaths to them. To bring down the rate of traffic fatalities, the development of the intelligent vehicle is a much-valued technology nowadays. It is of great significance to the decision making and planning of a vehicle if the pedestrians' intentions and future trajectories, as well as those of surrounding vehicles, could be predicted, all in an effort to increase driving safety. Based on the image sequence collected by onboard monocular cameras, we use the Long Short-Term Memory (LSTM) based network with an enhanced attention mechanism to realize the intention and trajectory prediction of pedestrians and surrounding vehicles. However, although the fully automatic driving era still seems far away, human drivers are still a crucial part of the road‒driver‒vehicle system under current circumstances, even dealing with low levels of automatic driving vehicles. Considering that more than 90 percent of fatal traffic accidents were caused by human errors, thus it is meaningful to recognize the secondary task while driving, as well as the driving style recognition, to develop a more personalized advanced driver assistance system (ADAS) or intelligent vehicle. We use the graph convolutional networks for spatial feature reasoning and the LSTM networks with the attention mechanism for temporal motion feature learning within the image sequence to realize the driving secondary-task recognition. Moreover, aggressive drivers are more likely to be involved in traffic accidents, and the driving risk level of drivers could be affected by many potential factors, such as demographics and personality traits. Thus, we will focus on the driving style classification for the longitudinal car-following scenario. Also, based on the Structural Equation Model (SEM) and Strategic Highway Research Program 2 (SHRP 2) naturalistic driving database, the relationships among drivers' demographic characteristics, sensation seeking, risk perception, and risky driving behaviors are fully discussed. Results and conclusions from this short book are expected to offer potential guidance and benefits for promoting the development of intelligent vehicle technology and driving safety.

Author: Ahura Jami
Publisher:
ISBN:
Category :
Languages : en
Pages : 92

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A critical aspect of connected vehicle safety analysis is understanding the impact of human behavior on the overall performance of the safety system. Given the variation in human driving behavior and the expectancy for high levels of performance, it is crucial for these systems to be flexible to various driving characteristics. However, design, testing, and evaluation of these active safety systems remain a challenging task, exacerbated by the lack of behavioral data and practical test platforms. Additionally, the need for the operation of these systems in critical and dangerous situations makes the burden of their evaluation very costly and time-consuming. As an alternative option, researchers attempt to use simulation platforms to study and evaluate their algorithms. In this work, we introduce a high fidelity simulation platform, designed for a hybrid transportation system involving both human-driven and automated vehicles. We decompose the human driving task and offer a modular approach in simulating a large-scale traffic scenario, making it feasible for extensive studying of automated and active safety systems. Furthermore, we propose a human-interpretable driver model represented as a closed-loop feedback controller. For this model, we analyze a large driving dataset to extract expressive parameters that would best describe different driving characteristics. Finally, we recreate a similarly dense traffic scenario within our simulator and conduct a thorough analysis of different human-specific and system-specific factors and study their effect on the performance and safety of the traffic network.

Author: Tomer Toledo
Publisher:
ISBN:
Category :
Languages : en
Pages : 197

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Author: Jeffrey L. Adler
Publisher:
ISBN:
Category : Advanced traveler information systems
Languages : en
Pages : 30

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Author:
Publisher:
ISBN:
Category : Automobile driving simulators
Languages : en
Pages : 16

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Author: Xiaopeng Fang
Publisher:
ISBN:
Category :
Languages : en
Pages : 136

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Book Description
Traffic simulation is a useful tool to study human factors, traffic system, and vehicle design. To build a realistic and intelligent traffic environment, driver behavior models need to be studied. A significant problem in modeling driver behavior was the lack of real traffic data. This thesis presents an experiment for obtaining real traffic data and shows the filtering process for the data. This is the first experiment using a rear-looking radar-tracking device to obtain real traffic data. Based on the data, some driver behavior models, such as car-following models and lane-changing models, have been constructed and some simulation results have been presented and compared. Furthermore, the traffic simulation with driver behavior models has been implemented into the driver-simulator system at Iowa State University. Current developments of the driver-simulator system have been discussed.

Author: Winnie Daamen
Publisher: CRC Press
ISBN: 1482228718
Category : Mathematics
Languages : en
Pages : 261

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Book Description
A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from the Multitude Project-a European Cost Action project that incorpo

Author:
Publisher:
ISBN: 9780309369756
Category : Design and technology
Languages : en
Pages : 62

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Book Description
This issue contains 7 papers concerned with traffic control devices. Specific topics addressed in this issue include the following: two-way stop-controlled intersections; simulation of manual traffic control; marked versus unmarked on-street parking efficiency; traffic signal warrant analysis; rectangular rapid-flashing beacons at midblock crosswalks; placement of rectangular rapid-flashing beacons; and flashing green signals and risky driver behavior.