International Conference on Transportation and Development 2022最新文献_第4页

Analysis of Naturalistic Driving Events in Honolulu (Pre-COVID) 檀香山自然驾驶事件分析(疫情前)

International Conference on Transportation and Development 2022 Pub Date : 2022-08-31 DOI: 10.1061/9780784484333.013

Luana Carneiro Pereira, P. Prevedouros

{"title":"Analysis of Naturalistic Driving Events in Honolulu (Pre-COVID)","authors":"Luana Carneiro Pereira, P. Prevedouros","doi":"10.1061/9780784484333.013","DOIUrl":"https://doi.org/10.1061/9780784484333.013","url":null,"abstract":"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.","PeriodicalId":136641,"journal":{"name":"International Conference on Transportation and Development 2022","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132562781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

International Conference on Transportation and Development 2022 Pub Date : 2022-08-31 DOI: 10.1061/9780784484340.007

B. Helena, H. David, H. Salvador

引用次数: 0

Sustainability, Scalability, and Resiliency of the Town of Innisfil Mobility-on-Demand Experiment: Preliminary Results, Analyses, and Lessons Learned Innisfil镇按需移动实验的可持续性、可扩展性和弹性:初步结果、分析和经验教训

International Conference on Transportation and Development 2022 Pub Date : 2022-08-31 DOI: 10.1061/9780784484340.022

Dustin Weigl, J. Sperling, Alejandro Henao, Andrew Duvall, S. Young

{"title":"Sustainability, Scalability, and Resiliency of the Town of Innisfil Mobility-on-Demand Experiment: Preliminary Results, Analyses, and Lessons Learned","authors":"Dustin Weigl, J. Sperling, Alejandro Henao, Andrew Duvall, S. Young","doi":"10.1061/9780784484340.022","DOIUrl":"https://doi.org/10.1061/9780784484340.022","url":null,"abstract":"In 2017, the town of Innisfil, Ontario, launched Innisfil Transit in partnership with Uber, a transportation network company, to provide a subsidized on-demand public mobility service as an alternative to investing in a new fixed-route bus service. The performance of Innisfil Transit is documented in a 2021 Ryerson University report by Sweet, Mitra, and Benaroya, which shows greater cost effectiveness of the mobility provided over the proposed bus alternative. This paper expands on those findings by assessing Innisfil Transit with respect to sustainability, scalability, and resiliency. First, we quantify the energy and emissions of this program relative to traditional transit and driving alone across varying powertrains. We then characterize a conservative first-order estimate of the percentage of US communities that fall within a similar spatial-demographic tier as Innisfil. Replicability also hinges on service cost and performance in comparison to average values for low-density transit in the US. Lastly, most transit agencies experienced a significant drop in demand (as much as 90%) with slowly rebounding ridership since the onset of the COVID-19 pandemic. The resiliency of the Innisfil program to the pressures induced by the pandemic is examined in comparison to other transit operations. The lessons learned across these three dimensions complement prior work to better understand the efficiency and sustainability of on-demand public mobility service for low-density communities like Innisfil. © ASCE. All rights reserved.","PeriodicalId":136641,"journal":{"name":"International Conference on Transportation and Development 2022","volume":"44 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125680161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Filling Traffic Count Gaps with Connected Vehicle Data 用联网车辆数据填补交通统计空白

International Conference on Transportation and Development 2022 Pub Date : 2022-08-31 DOI: 10.1061/9780784484326.019

Boris Claros, Glenn Vorhes, M. Chitturi, A. Bill, D. Noyce

引用次数: 3

Analysis of Traffic Operations with the Addition of a Truck Climbing Lane—Case Study for I-80 in California 增加卡车爬坡车道后的交通运行分析——以加州I-80公路为例

International Conference on Transportation and Development 2022 Pub Date : 2022-08-31 DOI: 10.1061/9780784484326.003

E. Beheshtitabar, Omid Isaar, Raju Porandla

引用次数: 0

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

International Conference on Transportation and Development 2022 Pub Date : 2022-08-31 DOI: 10.1061/9780784484319.023

Yongpeng Jiang, Jianming Hu, Hantao Liu

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

International Conference on Transportation and Development 2022 Pub Date : 2022-08-31 DOI: 10.1061/9780784484371.019

M. Mcnerney, Grant Bishop, Valerie Saur, Shihlin Lu, Juan Naputi, D. Serna, David Popko

引用次数: 1

Sustainable Pavement Subgrades for Unsaturated Saline Bhavnagar Coast 巴夫纳加尔海岸非饱和盐碱地的可持续路面路基

International Conference on Transportation and Development 2022 Pub Date : 2022-08-31 DOI: 10.1061/9780784484357.025

Jahnavi Parmar, Saloni Pandya, Pranav R. T. Peddinti, P. S. Prasad

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

International Conference on Transportation and Development 2022 Pub Date : 2022-08-31 DOI: 10.1061/9780784484340.021

Rustam Hafizyar, Khan Mohammad Shinwaray, Mohammad Ali Mosaberpanah

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

International Conference on Transportation and Development 2022 Pub Date : 2022-08-31 DOI: 10.1061/9780784484326.020

Heng Wei, Gaurav Kashyap, Dong Nian, Wei-Ming Lin

引用次数: 0