信号交叉口驾驶员及行人手机使用对效率和安全影响分析
发布时间：2021-08-31 21:47
以智能手机为代表的移动互联网应用已经在我国广泛普及,智能手机中的移动定位、地图导航等功能给交通出行带来了巨大的便利。然而,智能手机的应用也对交通系统运行带来了巨大的影响。本论文主要针对信号交叉口驾驶员及行人手机使用对通行效率与交通安全问题的影响开展研究。选择杭州市典型信号交叉口作为研究对象,分别从红灯期间驾驶员使用手机对交叉口启动损失时间、车头时距和饱和流量的影响,以及行人过街期间手机使用及其安全性分析这两个角度开展本论文的研究。论文主要研究内容如下:（1）信号交叉口红灯期间驾驶员手机使用行为调查。论文设计了两种调查方案:问卷调查和实际调查。问卷调查采用在线问卷形式,包括27个问题,这些问题涉及机动车红灯等待期间移动设备的使用情况,问卷有效样本数量为151份。同时采用视频采集方式获取了五个信号交叉口的机动车红灯等待期间的视频数据,通过人工判断获取了2596辆机动车的行为数据样本,通过这些数据对机动车红灯期间手机使用行为进行分析和建模。（2）驾驶员红灯期间手机使用行为的影响因素分析。根据实际调查的数据,分析了影响驾驶员在红灯期间使用手机的重要因素。提出了一种更加鲁棒有效的分析方法,即非支...
【文章来源】：浙江大学浙江省 211工程院校 985工程院校 教育部直属院校
【文章页数】：96 页
【学位级别】：硕士
【文章目录】：
ACKNOWLEDGEMENTS
摘要
Abstract
1 Introduction
1.1 Research background
1.2 Literature review
1.2.1 Mobile phone use and driver behavior
1.2.2 Mobile phone use and pedestrian behavior
1.3 Research process and contents
1.3.1 Research process
1.3.2 Research contents and thesis organization
2 Investigation of driver smartphone use at red traffic signals
2.1 Online questionnaire
2.1.1 Questionnaire participants, design and sampling
2.1.2 Statistical description of online questionnaire results
2.2 Naturalistic survey
2.2.1 Field data collection method
2.2.2 Data processing
2.2.3 Statistical description of naturalistic survey results
2.3 Conclusion
3 Analysis of factors influencing driver's smartphone use at red traffic signals
3.1 Fusion analysis of NSGA-II and logistic regression
3.1.1 Optimization model -based analysis: NSGA-Ⅱ
3.1.2 Statistical model -based analysis:Logistic regression
3.1.3 Synthesis of NSGA-Ⅱ and Logit model
3.2 Conclusion
4 Analysis of impacts of drivers' phone use on intersection's vehicle capacity
4.1 Queue discharge pattern measurements
4.1.1 Headways and start-up lost time
4.1.2 Start-up delay
4.2 Effect of driver smartphone use on start-up delay
4.3 Effect of driver smartphone use on headway
4.4 Conclusion
5 Assessment performance indicators of pedestrian crossing behavior
5.1 Time-space diagram for signalized crosswalk (TSDSC)
5.1.1 Pedestrian crossing distance
5.1.2 Pedestrian crossing time
5.1.3 Walking time
5.1.4 Stopping time
5.1.5 Crossing speed
5.1.6 Pedestrian start-up time
5.1.7 Pedestrian start-crossing delay
5.2 Pedestrian trajectory
5.3 Pedestrian origin-destination (OD) movement
5.4 Pedestrian Origin-Destination (OD) and trajectory difference
5.5 Pedestrian conflict avoidance and conflict avoidance ratio (CAR)
5.6 Pedestrian-driver eye-contact and eye-contact ratio (ECR)
5.7 Conclusion
6 Analysis of pedestrian smartphone use and influence on crossing safety
6.1 Data collection
6.2 Sample characteristics and preliminary analysis
6.2.1 Pedestrian phone use mode and rates
6.2.2 Pedestrian behavior in obeying and disobeying traffic signals
6.3 Pedestrian behavioral correlates of mobile phone use
6.4 Conclusion
7 Summaries and prospects
7.1 Summaries
7.1.1 Summary 1: For drivers'phone use behavior research
7.1.2 Summary 2:For pedestrian crossing behavior research
7.2 Prospects
7.2.1 Prospect 1: For drivers' phone use behavior research
7.2.2 Prospect 2: For pedestrian crossing behavior research
References
Appendix
【参考文献】：
期刊论文
[1]Will 3D Zebra Crossings Help to Curb Traffic Accidents?[J]. Beijing Review. 2017(31)
本文编号：3375671
【文章来源】：浙江大学浙江省 211工程院校 985工程院校 教育部直属院校
【文章页数】：96 页
【学位级别】：硕士
【文章目录】：
ACKNOWLEDGEMENTS
摘要
Abstract
1 Introduction
1.1 Research background
1.2 Literature review
1.2.1 Mobile phone use and driver behavior
1.2.2 Mobile phone use and pedestrian behavior
1.3 Research process and contents
1.3.1 Research process
1.3.2 Research contents and thesis organization
2 Investigation of driver smartphone use at red traffic signals
2.1 Online questionnaire
2.1.1 Questionnaire participants, design and sampling
2.1.2 Statistical description of online questionnaire results
2.2 Naturalistic survey
2.2.1 Field data collection method
2.2.2 Data processing
2.2.3 Statistical description of naturalistic survey results
2.3 Conclusion
3 Analysis of factors influencing driver's smartphone use at red traffic signals
3.1 Fusion analysis of NSGA-II and logistic regression
3.1.1 Optimization model -based analysis: NSGA-Ⅱ
3.1.2 Statistical model -based analysis:Logistic regression
3.1.3 Synthesis of NSGA-Ⅱ and Logit model
3.2 Conclusion
4 Analysis of impacts of drivers' phone use on intersection's vehicle capacity
4.1 Queue discharge pattern measurements
4.1.1 Headways and start-up lost time
4.1.2 Start-up delay
4.2 Effect of driver smartphone use on start-up delay
4.3 Effect of driver smartphone use on headway
4.4 Conclusion
5 Assessment performance indicators of pedestrian crossing behavior
5.1 Time-space diagram for signalized crosswalk (TSDSC)
5.1.1 Pedestrian crossing distance
5.1.2 Pedestrian crossing time
5.1.3 Walking time
5.1.4 Stopping time
5.1.5 Crossing speed
5.1.6 Pedestrian start-up time
5.1.7 Pedestrian start-crossing delay
5.2 Pedestrian trajectory
5.3 Pedestrian origin-destination (OD) movement
5.4 Pedestrian Origin-Destination (OD) and trajectory difference
5.5 Pedestrian conflict avoidance and conflict avoidance ratio (CAR)
5.6 Pedestrian-driver eye-contact and eye-contact ratio (ECR)
5.7 Conclusion
6 Analysis of pedestrian smartphone use and influence on crossing safety
6.1 Data collection
6.2 Sample characteristics and preliminary analysis
6.2.1 Pedestrian phone use mode and rates
6.2.2 Pedestrian behavior in obeying and disobeying traffic signals
6.3 Pedestrian behavioral correlates of mobile phone use
6.4 Conclusion
7 Summaries and prospects
7.1 Summaries
7.1.1 Summary 1: For drivers'phone use behavior research
7.1.2 Summary 2:For pedestrian crossing behavior research
7.2 Prospects
7.2.1 Prospect 1: For drivers' phone use behavior research
7.2.2 Prospect 2: For pedestrian crossing behavior research
References
Appendix
【参考文献】：
期刊论文
[1]Will 3D Zebra Crossings Help to Curb Traffic Accidents?[J]. Beijing Review. 2017(31)
本文编号：3375671
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