Yuren Chen
Biographic Data
| ID | 7487328 |
|---|---|
| NAME | Yuren Chen |
| GIVEN NAMES | Yuren |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN Y |
| AFFILIATIONS | Tongji University |
| ORCID | 0000-0003-4702-9241 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Wastewater alkalinity enhancement for carbon emission reduction and marine CO 2 removal
Wastewater alkalinity enhancement is a promising approach for ocean alkalinity enhancement due to its potential to deliver strong bases with minimum secondary precipitation and its potential use of the global network of wastewater treatment plants (WWTPs). WWTPs are also significant sources of CO 2 due to organic matter oxidation, and integrating alkalinity addition into treatment processes may both reduce in-plant CO 2 emissions and increase dow…
Comparative Analysis of Influencing Factors on Crash Severity between Super Multi-Lane and Traditional Multi-Lane Freeways Considering Spatial Heterogeneity
With the growth of traffic demand, the number of newly built and renovated super multi-lane freeways (i.e., equal to or more than a two-way ten-lane) is increasing. Compared with traditional multi-lane freeways (i.e., a two-way six-lane or eight-lane), super multi-lane freeways have higher design speeds and more vehicle interweaving movements, which may lead to higher traffic risks. However, current studies mostly focus on the factors that affect…
Divergent Effects of Factors on Crash Severity under Autonomous and Conventional Driving Modes Using a Hierarchical Bayesian Approach
Influencing factors on crash severity involved with autonomous vehicles (AVs) have been paid increasing attention. However, there is a lack of comparative analyses of those factors between AVs and human-driven vehicles. To fill this research gap, the study aims to explore the divergent effects of factors on crash severity under autonomous and conventional (i.e., human-driven) driving modes. This study obtained 180 publicly available autonomous ve…
Quantifying the Effects of Visual Road Information on Drivers’ Speed Choices to Promote Self-Explaining Roads
Roads should deliver appropriate information to drivers and thus induce safer driving behavior. This concept is also known as "self-explaining roads" (SERs). Previous studies have demonstrated that understanding how road characteristics affect drivers' speed choices is the key to SERs. Thus, in order to reduce traffic casualties via engineering methods, this study aimed to establish a speed decision model based on visual road information and to p…
Driver Vision Based Perception-Response Time Prediction and Assistance Model on Mountain Highway Curve
To make driving assistance system more humanized, this study focused on the prediction and assistance of drivers' perception-response time on mountain highway curves. Field tests were conducted to collect real-time driving data and driver vision information. A driver-vision lane model quantified curve elements in drivers' vision. A multinomial log-linear model was established to predict perception-response time with traffic/road environment infor…
No prominent works on this page.
Driver Vision Based Perception-Response Time Prediction and Assistance Model on Mountain Highway Curve
To make driving assistance system more humanized, this study focused on the prediction and assistance of drivers' perception-response time on mountain highway curves. Field tests were conducted to collect real-time driving data and driver vision information. A driver-vision lane model quantified curve elements in drivers' vision. A multinomial log-linear model was established to predict perception-response time with traffic/road environment infor…
Quantifying the Effects of Visual Road Information on Drivers’ Speed Choices to Promote Self-Explaining Roads
Roads should deliver appropriate information to drivers and thus induce safer driving behavior. This concept is also known as "self-explaining roads" (SERs). Previous studies have demonstrated that understanding how road characteristics affect drivers' speed choices is the key to SERs. Thus, in order to reduce traffic casualties via engineering methods, this study aimed to establish a speed decision model based on visual road information and to p…
Comparative Analysis of Influencing Factors on Crash Severity between Super Multi-Lane and Traditional Multi-Lane Freeways Considering Spatial Heterogeneity
With the growth of traffic demand, the number of newly built and renovated super multi-lane freeways (i.e., equal to or more than a two-way ten-lane) is increasing. Compared with traditional multi-lane freeways (i.e., a two-way six-lane or eight-lane), super multi-lane freeways have higher design speeds and more vehicle interweaving movements, which may lead to higher traffic risks. However, current studies mostly focus on the factors that affect…
Divergent Effects of Factors on Crash Severity under Autonomous and Conventional Driving Modes Using a Hierarchical Bayesian Approach
Influencing factors on crash severity involved with autonomous vehicles (AVs) have been paid increasing attention. However, there is a lack of comparative analyses of those factors between AVs and human-driven vehicles. To fill this research gap, the study aims to explore the divergent effects of factors on crash severity under autonomous and conventional (i.e., human-driven) driving modes. This study obtained 180 publicly available autonomous ve…
Wastewater alkalinity enhancement for carbon emission reduction and marine CO 2 removal
Wastewater alkalinity enhancement is a promising approach for ocean alkalinity enhancement due to its potential to deliver strong bases with minimum secondary precipitation and its potential use of the global network of wastewater treatment plants (WWTPs). WWTPs are also significant sources of CO 2 due to organic matter oxidation, and integrating alkalinity addition into treatment processes may both reduce in-plant CO 2 emissions and increase dow…
Traffic and Road Safety (4 works) · Computer Science (3 works) · Engineering (3 works) · Medicine (3 works) · Poison control (3 works) · Transport engineering (3 works) · Autonomous Vehicle Technology and Safety (2 works) · Crash (2 works) · Environmental health (2 works) · Environmental Science (2 works)