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International Conference on Transportation and Development 2022最新文献

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Analysis of Naturalistic Driving Events in Honolulu (Pre-COVID) 檀香山自然驾驶事件分析(疫情前)
Pub Date : 2022-08-31 DOI: 10.1061/9780784484333.013
Luana Carneiro Pereira, P. Prevedouros
Dashboard cameras and sensors were installed in 233 taxi vans in Honolulu, Hawaii. They produced many hours of naturalistic driving data (NDD) between fall 2019 and spring 2020 in the form of 20 s recorded events. The study achieved its objectives to (1) collect data from naturalistic driving events where driving maneuvers caused acceleration or deceleration in any direction of 0.5g or higher, (2) develop a database suitable for statistical analysis, (3) derive basic statistics for all variables, and (4) investigate correlations between variables. The database included a total of 402 harsh events, of which were 398 near-crashes and 4 were crashes. Several variables such as road, environmental, driver, and vehicle characteristics were coded for each event. The installation of an NDD system by the taxi company proved to be a successful tool for coaching drivers, and for providing statistically significant insights into traffic safety factors relating to near-miss events, such as wider expressways come with a higher risk for near rear-end events;urban roads without parking lower the risk of near rear-end events;light traffic density significantly reduces the risk of rear-end events on freeways;and, mobile phone usage has a positive and significant coefficient that increases the risk of highway rear-end events. © ASCE.
在夏威夷檀香山的233辆出租车上安装了仪表盘摄像头和传感器。他们以20年代记录事件的形式,在2019年秋季至2020年春季期间生成了数小时的自然驾驶数据(NDD)。本研究达到了以下目的:(1)收集驾驶动作导致任何方向加速或减速0.5g及以上的自然驾驶事件的数据;(2)建立适合统计分析的数据库;(3)对所有变量进行基本统计;(4)研究变量之间的相关性。该数据库共包含402起恶劣事件,其中398起接近坠机,4起已经坠机。为每个事件编码了道路、环境、驾驶员和车辆特征等几个变量。出租车公司安装的NDD系统被证明是一种成功的指导司机的工具,并提供了与险些事故有关的交通安全因素的统计意义重大的见解,例如,较宽的高速公路发生近尾事故的风险较高;没有停车位的城市道路发生近尾事故的风险较低;轻交通密度显著降低高速公路发生追尾事件的风险;以及,手机使用对高速公路追尾事故风险的增加具有显著的正相关系数。©第3期。
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引用次数: 0
Preliminary Investigation of Heavy Vehicle Parking Design in Oregon Rest Areas 俄勒冈州休息区重型车辆停放设计初探
Pub Date : 2022-08-31 DOI: 10.1061/9780784484340.007
B. Helena, H. David, H. Salvador
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引用次数: 0
Detailed Pavement Inspection of Airports Using Remote Sensing UAS and Machine Learning of Distress Imagery 基于遥感UAS和遇险图像机器学习的机场路面详细检查
Pub Date : 2022-08-31 DOI: 10.1061/9780784484371.019
M. Mcnerney, Grant Bishop, Valerie Saur, Shihlin Lu, Juan Naputi, D. Serna, David Popko
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引用次数: 1
Collision Risk Prediction for Vehicles with Sensor Data Fusion through a Machine Learning Pipeline 基于机器学习管道的传感器数据融合车辆碰撞风险预测
Pub Date : 2022-08-31 DOI: 10.1061/9780784484319.023
Yongpeng Jiang, Jianming Hu, Hantao Liu
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引用次数: 0
Sustainable and Green Transportation for Best Quality of Life: A Case Study in Kabul, Afghanistan 可持续和绿色交通促进最佳生活质量:以阿富汗喀布尔为例
Pub Date : 2022-08-31 DOI: 10.1061/9780784484340.021
Rustam Hafizyar, Khan Mohammad Shinwaray, Mohammad Ali Mosaberpanah
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引用次数: 0
V2I-Based Intelligent Mobility Data Fusion for Self-Adaptive Traffic Signal Control 基于v2i的智能交通数据融合自适应交通信号控制
Pub Date : 2022-08-31 DOI: 10.1061/9780784484326.020
Heng Wei, Gaurav Kashyap, Dong Nian, Wei-Ming Lin
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引用次数: 0
Implementing and Sustaining a Cost Risk Estimating and Management Program 实施和维持成本风险评估和管理计划
Pub Date : 2022-08-31 DOI: 10.1061/9780784484364.010
Zachary Davis, Markus Gabel, Mark Sujka, A. Keizur
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引用次数: 0
Implications of Changing Asphalt Binder Sources on Engineering Properties of Traditional and Balanced Asphalt Mixtures 改变沥青粘结剂来源对传统和平衡沥青混合料工程性能的影响
Pub Date : 2022-08-31 DOI: 10.1061/9780784484357.024
V. M. Garcia, Denis Vieira, I. Abdallah, S. Nazarian
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引用次数: 0
Filling Traffic Count Gaps with Connected Vehicle Data 用联网车辆数据填补交通统计空白
Pub Date : 2022-08-31 DOI: 10.1061/9780784484326.019
Boris Claros, Glenn Vorhes, M. Chitturi, A. Bill, D. Noyce
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引用次数: 3
Front Matter for International Conference on Transportation and Development 2022: Other Modes—Rail, Transit, and Aviation 2022年国际交通与发展会议的前沿议题:其他模式——铁路、交通和航空
Pub Date : 2022-08-31 DOI: 10.1061/9780784484371.fm
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引用次数: 0
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International Conference on Transportation and Development 2022
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