Open Transportation Journal最新文献_第10页

What Level of Tourism Traffic Should be planned for in North Carolina’s Major Tourism Areas 北卡罗来纳州主要旅游区的旅游交通规划水平

Open Transportation Journal Pub Date : 2019-12-31 DOI: 10.2174/1874447801913010213

Joseph H. Wilck, P. Kauffmann, Paul Lynch

{"title":"What Level of Tourism Traffic Should be planned for in North Carolina’s Major Tourism Areas","authors":"Joseph H. Wilck, P. Kauffmann, Paul Lynch","doi":"10.2174/1874447801913010213","DOIUrl":"https://doi.org/10.2174/1874447801913010213","url":null,"abstract":"\u0000 \u0000 The purpose of this research is to provide the North Carolina Department of Transportation (NCDOT) with an execution strategy for using traffic counts in high tourism areas to aid in the development of Comprehensive Transportation Plans (CTPs). Due to the high variability of traffic counts in these localities, it is arbitrary to apply the typical weekday traffic count as the reference metric for developing the CTPs for these areas.\u0000 \u0000 \u0000 \u0000 A literature review and assessment of best practices, forecasting models, and implementation strategies are provided. The first and primary recommendation with respect to Average Annual Daily Traffic (AADT) calculations and planning is to incorporate peak-usage and directionality; whether it be hourly or monthly. Urban areas will have AADT values similar to the design value. However, seasonal areas, such as tourist locations, will have significant differences between the design value and the AADT.\u0000 \u0000 \u0000 \u0000 While other states (notably Nevada and Florida) have incorporated peak-hour usage ratios into their planning forecasts, the recommendation in this report suggests using an average of the two busiest months (as shown in the case studies) when peak-hour usage rates are unknown.\u0000 \u0000 \u0000 \u0000 The primary recommendations should be addressed tactically (i.e., 3-5 years), and phased-in as resources are available. Other recommendations should be addressed strategically (i.e., 5-10 years), and phased-in as resources are available. Future work, including simulation modeling could be completed to test different levels of funding and to compare different approaches.\u0000","PeriodicalId":38631,"journal":{"name":"Open Transportation Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45521250","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

Technology Learning in Automobile Industry: Comparative Study between Thai and Korean Companies 汽车行业的技术学习：泰国和韩国企业的比较研究

Open Transportation Journal Pub Date : 2019-12-31 DOI: 10.2174/1874447801913010236

O. Shvetsova

引用次数: 2

Waiting Time of Public Transport Passengers in Jordan: Magnitude and Cost 约旦公共交通乘客的等待时间：规模和成本

Open Transportation Journal Pub Date : 2019-12-31 DOI: 10.2174/1874447801913010227

Amir Shtayat, Mohammed Abu Alfoul, S. Moridpour, Njoud Al-Hurr, Khalid Magableh, Ishraq Harahsheh

引用次数: 7

Empirical Study on the Accuracy and Precision of Automatic Passenger Counting in European Bus Services 欧洲公交服务乘客自动计数的准确性和精度实证研究

Open Transportation Journal Pub Date : 2019-12-31 DOI: 10.2174/1874447801913010250

A. Olivo, G. Maternini, B. Barabino

引用次数: 13

Congestion and Pollution, Vehicle Routing Problem of a Logistics Provider in Thailand 泰国一家物流供应商的交通拥堵与污染问题

Open Transportation Journal Pub Date : 2019-12-13 DOI: 10.2174/1874447801913010203

Chanicha Moryadee, Wissawa Aunyawong, Mohd Rizaimy Shaharudin

引用次数: 3

Non-Motorized Trip Pattern in Sub-Saharan Africa: Assessment of Walk Trip 撒哈拉以南非洲的非机动出行模式:步行出行的评估

Open Transportation Journal Pub Date : 2019-12-13 DOI: 10.2174/1874447801913010194

A. Busari

引用次数: 0

Are Parents Willing to Use Technology to Prevent the Tragedy of Forgetting Children Inside Cars? 父母是否愿意用科技手段来防止把孩子忘在车里的悲剧?

Open Transportation Journal Pub Date : 2019-11-15 DOI: 10.2174/1874447801913010162

Gila Albert, Rivka Kerbis

引用次数: 1

Comparing the Traffic Operation, Fuel Consumption, and Pollutant Emission of Bike Lane Pattern Design with AIMSUN Microscopic Simulation Model: A Case Study of Nakhon Sawan Municipality in Thailand AIMSUN微观模拟模型对自行车道模式设计的交通运行、油耗和污染物排放的比较——以泰国那空沙湾市为例

Open Transportation Journal Pub Date : 2019-11-15 DOI: 10.2174/1874447801913010182

Karn Chalermwongphan, Prapatpong Upala

引用次数: 3

Travel-time Prediction Using K-nearest Neighbor Method with Distance Metric of Correlation Coefficient 基于相关系数距离度量的k近邻旅行时间预测方法

Open Transportation Journal Pub Date : 2019-09-30 DOI: 10.2174/1874447801913010141

Jinhwan Jang

{"title":"Travel-time Prediction Using K-nearest Neighbor Method with Distance Metric of Correlation Coefficient","authors":"Jinhwan Jang","doi":"10.2174/1874447801913010141","DOIUrl":"https://doi.org/10.2174/1874447801913010141","url":null,"abstract":"\u0000 \u0000 Real-time Travel Time (TT) information has become an essential component of daily life in modern society. With reliable TT information, road users can increase their productivity by choosing less congested routes or adjusting their trip schedules. Drivers normally prefer departure time-based TT, but most agencies in Korea still provide arrival time-based TT with probe data from Dedicated Short-Range Communications (DSRC) scanners due to a lack of robust prediction techniques. Recently, interest has focused on the conventional k-nearest neighbor (k-NN) method that uses the Euclidean distance for real-time TT prediction. However, conventional k-NN still shows some deficiencies under certain conditions.\u0000 \u0000 \u0000 \u0000 This article identifies the cases where conventional k-NN has shortcomings and proposes an improved k-NN method that employs a correlation coefficient as a measure of distance and applies a regression equation to compensate for the difference between current and historical TT.\u0000 \u0000 \u0000 \u0000 The superiority of the suggested method over conventional k-NN was verified using DSRC probe data gathered on a signalized suburban arterial in Korea, resulting in a decrease in TT prediction error of 3.7 percent points on average. Performance during transition periods where TTs are falling immediately after rising exhibited statistically significant differences by paired t-tests at a significance level of 0.05, yielding p-values of 0.03 and 0.003 for two-day data.\u0000 \u0000 \u0000 \u0000 The method presented in this study can enhance the accuracy of real-time TT information and consequently improve the productivity of road users.\u0000","PeriodicalId":38631,"journal":{"name":"Open Transportation Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45696168","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

Analysis and Prediction of Crash Fatalities in Australia 澳大利亚交通事故死亡人数分析与预测

Open Transportation Journal Pub Date : 2019-09-30 DOI: 10.2174/1874447801913010134

Fady M. A. Hassouna, I. Pringle

{"title":"Analysis and Prediction of Crash Fatalities in Australia","authors":"Fady M. A. Hassouna, I. Pringle","doi":"10.2174/1874447801913010134","DOIUrl":"https://doi.org/10.2174/1874447801913010134","url":null,"abstract":"\u0000\u0000As fatalities, injuries, and economic losses from road accidents are a major concern for governments and their citizens, Australia, like other countries, has designed and implemented a wide range of strategies to reduce the rate of road accidents.\u0000\u0000\u0000 \u0000As part of the strategy design process, data on crash deaths were collected and then analyzed to develop more effective strategies. The data of crash deaths in Australia during the years 1965 to 2018 were analyzed based on gender, causes of crash deaths, and type of road users, and then the results were compared with global averages, then a prediction model was developed to forecast the future annual crash fatalities.\u0000\u0000\u0000The results indicate that, based on gender, the rate of male road fatalities in Australia was significantly higher than that of female road fatalities. Whereas based on the cause of death, the first cause of death was over speeding. Based on the type of road users, the drivers and passengers of 4-wheel vehicles had the highest rate of fatalities.\u0000\u0000\u0000 \u0000The prediction model was developed based on Autoregressive Integrated Moving Average (ARIMA) methodology, and annual road fatalities in Australia for the next five years 2019-2022 have been forecast using this model.\u0000","PeriodicalId":38631,"journal":{"name":"Open Transportation Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68076465","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: 6