信號交叉口駕駛員及行人手機(jī)使用對效率和安全影響分析
發(fā)布時間:2021-08-31 21:47
以智能手機(jī)為代表的移動互聯(lián)網(wǎng)應(yīng)用已經(jīng)在我國廣泛普及,智能手機(jī)中的移動定位、地圖導(dǎo)航等功能給交通出行帶來了巨大的便利。然而,智能手機(jī)的應(yīng)用也對交通系統(tǒng)運行帶來了巨大的影響。本論文主要針對信號交叉口駕駛員及行人手機(jī)使用對通行效率與交通安全問題的影響開展研究。選擇杭州市典型信號交叉口作為研究對象,分別從紅燈期間駕駛員使用手機(jī)對交叉口啟動損失時間、車頭時距和飽和流量的影響,以及行人過街期間手機(jī)使用及其安全性分析這兩個角度開展本論文的研究。論文主要研究內(nèi)容如下:(1)信號交叉口紅燈期間駕駛員手機(jī)使用行為調(diào)查。論文設(shè)計了兩種調(diào)查方案:問卷調(diào)查和實際調(diào)查。問卷調(diào)查采用在線問卷形式,包括27個問題,這些問題涉及機(jī)動車紅燈等待期間移動設(shè)備的使用情況,問卷有效樣本數(shù)量為151份。同時采用視頻采集方式獲取了五個信號交叉口的機(jī)動車紅燈等待期間的視頻數(shù)據(jù),通過人工判斷獲取了2596輛機(jī)動車的行為數(shù)據(jù)樣本,通過這些數(shù)據(jù)對機(jī)動車紅燈期間手機(jī)使用行為進(jìn)行分析和建模。(2)駕駛員紅燈期間手機(jī)使用行為的影響因素分析。根據(jù)實際調(diào)查的數(shù)據(jù),分析了影響駕駛員在紅燈期間使用手機(jī)的重要因素。提出了一種更加魯棒有效的分析方法,即非支...
【文章來源】:浙江大學(xué)浙江省 211工程院校 985工程院校 教育部直屬院校
【文章頁數(shù)】:96 頁
【學(xué)位級別】:碩士
【文章目錄】:
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
【參考文獻(xiàn)】:
期刊論文
[1]Will 3D Zebra Crossings Help to Curb Traffic Accidents?[J]. Beijing Review. 2017(31)
本文編號:3375671
【文章來源】:浙江大學(xué)浙江省 211工程院校 985工程院校 教育部直屬院校
【文章頁數(shù)】:96 頁
【學(xué)位級別】:碩士
【文章目錄】:
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
【參考文獻(xiàn)】:
期刊論文
[1]Will 3D Zebra Crossings Help to Curb Traffic Accidents?[J]. Beijing Review. 2017(31)
本文編號:3375671
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