Auditory Messages for Intersection Movement Assist (IMA) Systems: Effects of Speech- and Nonspeech-Based Cues

2020 ◽  
pp. 001872081989197
Author(s):  
Xingwei Wu ◽  
Linda Ng Boyle
Keyword(s):  
Avoidance Behavior ◽  
Driving Simulator ◽  
Red Light ◽  
Avoidance Performance ◽  
Red Light Running ◽  
Safety Hazard ◽  
Logistic Regression Models ◽  
Warning Messages ◽  
Potential Safety ◽  
Speed Change

Objective The objective of this study was to assess the effects of different warning messages for an Intersection Movement Assist (IMA) based on drivers’ ability to avoid a potential safety hazard. Background An IMA system can detect hazards and warn drivers when it is unsafe to enter an intersection. The effects of different warning information conveyed by these systems are still unknown. Method A driving simulator study with 80 participants was conducted with a red light running (RLR) scenario using a 5 (warnings) x 2 (training) between-subject design. IMA warnings included the messages “Danger,” “Brake now,” “Vehicle on your left,” a beep, and no IMA warning. Training was provided to half of the participants. Analysis of variance and logistic regression models were used to examine differences in drivers’ avoidance behavior. Results The analyses showed that all tested warning messages can significantly enhance drivers’ avoidance performance. Significant differences were observed in crash occurrence, avoidance behavior (i.e., reaction time and speed change), and eye movements (i.e., fixation pattern and time to first fixation). The effects of training also differed given the warning message provided. Conclusion The “Brake now” message performed best in reducing crash involvement and prompted better avoidance performance. The “Danger” and “Vehicle on your left” messages improved drivers’ hazard detection ability. The training showed a potential to enhance the effectiveness of nonspeech warning messages. Application The findings of this study can help designers and engineers better design IMA warning messages for RLR scenarios.

Examining Speech-Based Auditory Alerts for Intersection Collision Warning Systems using a Driving Simulator

2018 ◽  
Vol 62 (1) ◽  
pp. 1939-1943
Author(s):  
West M. O’Brien ◽  
Xingwei Wu ◽  
Linda Ng Boyle
Keyword(s):  
Driving Simulator ◽  
Red Light ◽  
Warning System ◽  
Warning Systems ◽  
Safety Hazards ◽  
Collision Warning ◽  
Potential Safety ◽  
Auditory Alerts ◽  
Forward Collision Warning ◽  
Collision Warning Systems

Collision warning systems alert drivers of potential safety hazards. Forward collision warning (FCW) systems have been widely implemented and studied. However, intersection collision warning systems (ICWS), such as intersection movement assist (IMA), are more complex. Additional studies are needed to identify the best alert for directing the driver toward the hazard. A driving simulator study with 48 participants was conducted to examine three speech-based auditory alerts (general, directional, and command) in a simulated red light running (RLR) collision scenario. The command alert that informed the drivers to brake was the most effective in reducing the number of collisions. The post-drive questionnaire showed that drivers also rated the brake alert to be best in terms of interpretation (based on the Kruskal Wallis test). This study provides insight into the performance of different types of speech-based alerts for an intersection collision warning system and can provide guidance for future studies.

Innovative countermeasures for red light running prevention at signalized intersections: A driving simulator study

2020 ◽  
Vol 134 ◽  
pp. 105349 ◽  
Author(s):  
Qinaat Hussain ◽  
Wael K.M. Alhajyaseen ◽  
Kris Brijs ◽  
Ali Pirdavani ◽  
Tom Brijs
Keyword(s):  
Driving Simulator ◽  
Red Light ◽  
Signalized Intersections ◽  
Red Light Running ◽  
Simulator Study

scholarly journals A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections

2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Wencheng Wang ◽  
Zhenzhou Yuan ◽  
Yanting Liu ◽  
Xiaobao Yang ◽  
Yang Yang
Keyword(s):  
Logit Model ◽  
Motor Vehicle ◽  
Red Light ◽  
Random Parameter ◽  
Light Period ◽  
Education Administration ◽  
Red Light Running ◽  
Speed Change ◽  
Random Parameter Logit ◽  
Random Parameter Logit Model

It is a dangerous behaviour for pedestrians and nonmotorized vehicles to cross intersections without waiting when they arrive at intersections during the red-light period. This paper investigates three typical signalized major-major intersections in the center of Beijing, by collecting and analyzing 1368 samples of pedestrians and nonmotorized vehicles. A random parameter logit model (RPLM) is established, with immediate red-light running (IRLR) behaviour as the dependent variable. The results show that the number of people waiting upon arrival, number of people crossing upon arrival, traffic mode, motor vehicle phase upon arrival, and speed change upon arrival have significant effects on IRLR behaviour. Accordingly, we suggest enforcing education administration on cyclists to reduce cyclists’ IRLR behaviour. Thus, people’s red-light running (RLR) behaviour will further decrease with fewer cyclists’ IRLR behaviour.

scholarly journals Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries

2021 ◽  
Vol 11 (7) ◽  
pp. 101
Author(s):  
Andrew Paul Morris ◽  
Narelle Haworth ◽  
Ashleigh Filtness ◽  
Daryl-Palma Asongu Nguatem ◽  
Laurie Brown ◽  
...  
Keyword(s):  
Autonomous Vehicles ◽  
Red Light ◽  
Road User ◽  
Red Light Running ◽  
Crash Data ◽  
Passenger Vehicles ◽  
Road Users ◽  
Vulnerable Road User ◽  
Vulnerable Road Users ◽  
Road Intersections

(1) Background: Passenger vehicles equipped with advanced driver-assistance system (ADAS) functionalities are becoming more prevalent within vehicle fleets. However, the full effects of offering such systems, which may allow for drivers to become less than 100% engaged with the task of driving, may have detrimental impacts on other road-users, particularly vulnerable road-users, for a variety of reasons. (2) Crash data were analysed in two countries (Great Britain and Australia) to examine some challenging traffic scenarios that are prevalent in both countries and represent scenarios in which future connected and autonomous vehicles may be challenged in terms of safe manoeuvring. (3) Road intersections are currently very common locations for vulnerable road-user accidents; traffic flows and road-user behaviours at intersections can be unpredictable, with many vehicles behaving inconsistently (e.g., red-light running and failure to stop or give way), and many vulnerable road-users taking unforeseen risks. (4) Conclusions: The challenges of unpredictable vulnerable road-user behaviour at intersections (including road-users violating traffic or safe-crossing signals, or taking other risks) combined with the lack of knowledge of CAV responses to intersection rules, could be problematic. This could be further compounded by changes to nonverbal communication that currently exist between road-users, which could become more challenging once CAVs become more widespread.

Application of the Pulse Electro-Osmosis Technology in the Control of Seepage of the Underground Structure

2011 ◽  
Vol 255-260 ◽  
pp. 752-756 ◽  
Author(s):  
Jiang Miao Zhu ◽  
Zhi Xin Li ◽  
Ying Wang ◽  
Ran Li
Keyword(s):  
Electric Pulse ◽  
Underground Structure ◽  
Pulse Signal ◽  
Economic Loss ◽  
Production Engineering ◽  
Safety Hazard ◽  
Construction Engineering ◽  
Water Seepage ◽  
Potential Safety ◽  
Electro Osmosis

The water seepage of underground structure is the serious problem in the construction engineering, and becomes one of the most harm in current infrastructure with the huge potential safety hazard and economic loss. The electro-osmosis technology is once widely used in the fields of soft ground stabilization of rock engineering, the biological pharmacy and the oil production engineering in China. This paper referred experiences of overseas, combined electric pulse signal and the electro-osmosis technology to reduce seepage of the underground structure, and solved underground structure water seepage problems. The paper comprehensively analyzed the research status of the technology at home and abroad and its feasibility in theory, also introduced the general implementation methods of projects, and carried on the comparison of the pulse electro-osmosis technology and the traditional moisture-proof technology in application.

scholarly journals A Hybrid Temporal-Spatio Forecasting Approach for Passenger Flow Status in Chinese High-Speed Railway Transport Hub

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Zhengyu Xie ◽  
Limin Jia ◽  
Yong Qin ◽  
Li Wang
Keyword(s):  
High Speed ◽  
Rapid Development ◽  
Distribution Center ◽  
Railway Transport ◽  
High Speed Railway ◽  
Safety Hazard ◽  
Passenger Flow ◽  
Potential Safety ◽  
Correlation Degree ◽  
The Status

With the rapid development of high-speed railway in China, high-speed railway transport hub (HRTH) has become the high-density distribution center of passenger flow. In order to accurately detect potential safety hazard hidden in passenger flow, it is necessary to forecast the status of passenger flow. In this paper, we proposed a hybrid temporal-spatio forecasting approach to obtain the passenger flow status in HRTH. The approach combined temporal forecasting based on radial basis function neural network (RBF NN) and spatio forecasting based on spatial correlation degree. Computational experiments on actual passenger flow status from a specific bottleneck position and its correlation points in HRTH showed that the proposed approach is effective to forecast the passenger flow status with high precision.

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