The Experts below are selected from a list of 14430 Experts worldwide ranked by ideXlab platform
Chang Wang - One of the best experts on this subject based on the ideXlab platform.
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Analysis of Pedestrian Street-Crossing Decision-Making Based on Vehicle Deceleration-Safety Gap.
International journal of environmental research and public health, 2020Co-Authors: Hongjia Zhang, Yingshi Guo, Yunxing Chen, Qinyu Sun, Chang WangAbstract:Numerous traffic crashes occur every year on zebra crossings in China. Pedestrians are vulnerable road users who are usually injured severely or fatally during human-vehicle collisions. The development of an effective Pedestrian Street-crossing decision-making model is essential to improving Pedestrian Street-crossing safety. For this purpose, this paper carried out a naturalistic field experiment to collect a large number of vehicle and Pedestrian motion data. Through interviewed with many Pedestrians, it is found that they pay more attention to whether the driver can safely brake the vehicle before reaching the zebra crossing. Therefore, this work established a novel decision-making model based on the vehicle deceleration-safety gap (VD-SGM). The deceleration threshold of VD-SGM was determined based on signal detection theory (SDT). To verify the performance of VD-SGM proposed in this work, the model was compared with the Raff model. The results show that the VD-SGM performs better and the false alarm rate is lower. The VD-SGM proposed in this work is of great significance to improve Pedestrians' safety. Meanwhile, the model can also increase the efficiency of autonomous vehicles.
Jian Kang - One of the best experts on this subject based on the ideXlab platform.
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the thermal comfort of urban Pedestrian Street in the severe cold area of northeast china
International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, 2017Co-Authors: Jian KangAbstract:Abstract In this study, thermal environment parameters and questionnaire survey data were analyzed statistically to obtain the influence weight of thermal environment parameters and individual factors on thermal comfort in different seasons in Harbin as the representative of the cold areas. The aim is to find the main influencing factors of thermal comfort in the cold regions of Northeast China and to propose optimization strategies. The average temperature in cool season has the greatest influence on thermal comfort, followed by wind speed. In middle season, clothing thermal resistance has the greatest influence on thermal comfort, followed by average radiation temperature. In hot season, the average radiation temperature has the greatest influence on thermal comfort, followed by wind speed and air temperature. Finally, the thermal comfort optimization strategy is put forward according to research results.
Bobby Bodenheimer - One of the best experts on this subject based on the ideXlab platform.
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3D Sound Rendering in a Virtual Environment to Evaluate Pedestrian Street Crossing Decisions at a Roundabout
2018 IEEE 4th VR Workshop on Sonic Interactions for Virtual Environments (SIVE), 2018Co-Authors: Haojie Wu, Daniel H Ashmead, Haley Adams, Bobby BodenheimerAbstract:Crossing Streets is a potentially hazardous activity for Pedestrians, and it is made more hazardous when the complexity of the intersection increases beyond a simple linear bisection, as it does in the case of a roundabout. We are interested in how Pedestrians make decisions about when to cross at such intersections. Simulating these intersections in immersive virtual reality provides a safe and effective way to do this. In this context, we present a traffic simulation designed to assess how Pedestrians make dynamic gap affordance judgments related to crossing the Street when supplied with spatialized sound cues. Our system uses positional information to generate generic head-related transfer functions (HRTFs) for spatializing audio sources. In this paper we evaluate the utility of using spatialized sound for these gap crossing judgments. In addition, we evaluate our simulation against varying levels of visual degradation to better understand how those with visual deficits might rely on their auditory senses. Our results indicate that spatialized sound enhances the experience of the virtual traffic simulation; its effects on gap crossing behavior are more subtle.
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using immersive virtual reality to evaluate Pedestrian Street crossing decisions at a roundabout
Applied Perception in Graphics and Visualization, 2009Co-Authors: Haojie Wu, Daniel H Ashmead, Bobby BodenheimerAbstract:In this paper, we use an immersive virtual environment to assess the separation, or "gap," between moving vehicles that people need before initiating a Street crossing in a roundabout, where traffic can be approaching from several directions. From a Pedestrians viewpoint, crossing at a roundabout can represent a more complex decision than at a normal linear intersection. This paper presents the design of a system that simulates reasonable traffic patterns that a Pedestrian might encounter in making a crossing decision at the exit lane of a roundabout, while controlling the gap duration in the stream of traffic. Using a maximum-likelihood procedure, we conducted a Street crossing experiment in the virtual environment to evaluate the minimum gap during which Pedestrians would initiate a successful crossing of the intersection. Our results are generally consistent with real-world data on Pedestrian Street crossings, and may provide insights into how to engineer the design of such roundabouts.
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APGV - Using immersive virtual reality to evaluate Pedestrian Street crossing decisions at a roundabout
Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization - APGV '09, 2009Co-Authors: Haojie Wu, Daniel H Ashmead, Bobby BodenheimerAbstract:In this paper, we use an immersive virtual environment to assess the separation, or "gap," between moving vehicles that people need before initiating a Street crossing in a roundabout, where traffic can be approaching from several directions. From a Pedestrians viewpoint, crossing at a roundabout can represent a more complex decision than at a normal linear intersection. This paper presents the design of a system that simulates reasonable traffic patterns that a Pedestrian might encounter in making a crossing decision at the exit lane of a roundabout, while controlling the gap duration in the stream of traffic. Using a maximum-likelihood procedure, we conducted a Street crossing experiment in the virtual environment to evaluate the minimum gap during which Pedestrians would initiate a successful crossing of the intersection. Our results are generally consistent with real-world data on Pedestrian Street crossings, and may provide insights into how to engineer the design of such roundabouts.
Hongjia Zhang - One of the best experts on this subject based on the ideXlab platform.
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Analysis of Pedestrian Street-Crossing Decision-Making Based on Vehicle Deceleration-Safety Gap.
International journal of environmental research and public health, 2020Co-Authors: Hongjia Zhang, Yingshi Guo, Yunxing Chen, Qinyu Sun, Chang WangAbstract:Numerous traffic crashes occur every year on zebra crossings in China. Pedestrians are vulnerable road users who are usually injured severely or fatally during human-vehicle collisions. The development of an effective Pedestrian Street-crossing decision-making model is essential to improving Pedestrian Street-crossing safety. For this purpose, this paper carried out a naturalistic field experiment to collect a large number of vehicle and Pedestrian motion data. Through interviewed with many Pedestrians, it is found that they pay more attention to whether the driver can safely brake the vehicle before reaching the zebra crossing. Therefore, this work established a novel decision-making model based on the vehicle deceleration-safety gap (VD-SGM). The deceleration threshold of VD-SGM was determined based on signal detection theory (SDT). To verify the performance of VD-SGM proposed in this work, the model was compared with the Raff model. The results show that the VD-SGM performs better and the false alarm rate is lower. The VD-SGM proposed in this work is of great significance to improve Pedestrians' safety. Meanwhile, the model can also increase the efficiency of autonomous vehicles.
David C. Schwebel - One of the best experts on this subject based on the ideXlab platform.
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child Pedestrian Street crossing behaviors outside a primary school developing observational methodologies and data from a case study in changsha china
Journal of transport and health, 2018Co-Authors: David C. Schwebel, Marissa Swanson, Peixia Cheng, Xunjie Cheng, Peishan Ning, Yue Wu, Guoqing HuAbstract:Abstract Background Child Pedestrian injury is a significant global public health challenge, and prevention programming requires an understanding of the context children face when crossing the Street. Methods to understand children's behavior in real-world Pedestrian settings are sparse in low- and middle-income countries. Methods Children in grades 1–6 were videotaped crossing a three-lane Street outside their school in Changsha, China. Tapes were coded to collect: (1) extent of adult supervision, (2) whom children crossed the Street with, and (3) safe behaviors exhibited by children. Results Observational videotape methods yielded data that could be reliably coded to understand Chinese children's behavior crossing the Street outside their primary school. In total, we observed 216 child Pedestrians crossing the Street, including 105 girls, 105 boys, and 6 for whom gender could not be determined. 51% of observations occurred in the morning before school and 49% in the afternoon after school. Children encountered a busy and somewhat-chaotic traffic environment. Adults were always present to help, but children appeared to heed adult advice concerning the crossing only about 70% of the time. Fewer than 1/3 of children looked at oncoming traffic before they entered a lane and over 1/3 entered a lane with moving traffic approaching. Conclusion Observational methods of coding videotaped behavior proved effective to understand and code children's risk and safety while crossing the Street outside their primary school. At the Street environment we studied, we found that children's Pedestrian behavior involved significant risk.
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distraction and Pedestrian safety how talking on the phone texting and listening to music impact crossing the Street
Accident Analysis & Prevention, 2012Co-Authors: David C. Schwebel, Despina Stavrinos, Katherine W Byington, Tiffany Davis, Elizabeth E Oneal, Desiree De JongAbstract:As use of handheld multimedia devices has exploded globally, safety experts have begun to consider the impact of distraction while talking, text-messaging, or listening to music on traffic safety. This study was designed to test how talking on the phone, texting, and listening to music may influence Pedestrian safety. 138 college students crossed an interactive, semi-immersive virtual Pedestrian Street. They were randomly assigned to one of four groups: crossing while talking on the phone, crossing while texting, crossing while listening to a personal music device, or crossing while undistracted. Participants distracted by music or texting were more likely to be hit by a vehicle in the virtual Pedestrian environment than were undistracted participants. Participants in all three distracted groups were more likely to look away from the Street environment (and look toward other places, such as their telephone or music device) than were undistracted participants. Findings were maintained after controlling for demographics, walking frequency, and media use frequency. Distraction from multimedia devices has a small but meaningful impact on college students’ Pedestrian safety. Future research should consider the cognitive demands of Pedestrian safety, and how those processes may be impacted by distraction. Policymakers might consider ways to protect distracted Pedestrians from harm and to reduce the number of individuals crossing Streets while distracted.