Journal of Transportation Engineering-asce最新文献_第8页

A Model and Its Applications for Predicting Passing Rate at Passing Zones on Two-Lane Rural Highways 农村双车道公路通行区通行率预测模型及其应用

Journal of Transportation Engineering-asce Pub Date : 2016-03-01 DOI: 10.1061/(ASCE)TE.1943-5436.0000820

Godfrey Mwesige, Haneen Farah, U. Bagampadde, H. Koutsopoulos

{"title":"A Model and Its Applications for Predicting Passing Rate at Passing Zones on Two-Lane Rural Highways","authors":"Godfrey Mwesige, Haneen Farah, U. Bagampadde, H. Koutsopoulos","doi":"10.1061/(ASCE)TE.1943-5436.0000820","DOIUrl":"https://doi.org/10.1061/(ASCE)TE.1943-5436.0000820","url":null,"abstract":"Passing zones are designed to provide sufficient sight distance for fast vehicles to pass safely slow vehicles and contribute to operational efficiency of two-lane highways. However, lack of suitable models to predict passing rate and capacity has made it difficult to quantify operational benefits of passing zones. In this paper, a model is proposed to predict passing rate in the subject direction at passing zones using traffic and geometric factors. The model is developed based on speed and passing data collected at 19 passing zones in Uganda using pneumatic tube classifiers and video recordings. Findings show that passing rates depend on the length of the passing zone, absolute vertical grade, traffic volume in two travel directions, directional split, 85th percentile speed of free-flow vehicles and percent heavy vehicles in the subject direction. The peak passing rate also referred to as the passing capacity occurs at 200, 220, and 240 vehicles/h in the subject direction for 50/50, 55/45, and 60/40 directional splits, respectively. The model could potentially be applicable in planning, design, and safety evaluation of two-lane rural highways.","PeriodicalId":305908,"journal":{"name":"Journal of Transportation Engineering-asce","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134570058","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

Reliability Analysis of Left-Turn Sight Distance at Signalized Intersections 信号交叉口左转弯视距可靠性分析

Journal of Transportation Engineering-asce Pub Date : 2016-03-01 DOI: 10.1061/(ASCE)TE.1943-5436.0000824

A. Hussain, S. Easa

{"title":"Reliability Analysis of Left-Turn Sight Distance at Signalized Intersections","authors":"A. Hussain, S. Easa","doi":"10.1061/(ASCE)TE.1943-5436.0000824","DOIUrl":"https://doi.org/10.1061/(ASCE)TE.1943-5436.0000824","url":null,"abstract":"The current method for the analysis of sight distance for left-turn vehicles at signalized intersections assumes that all component variables are deterministic. This paper presents a probabilistic approach based on such random variables as major-road speed, time gap required for left-turn vehicle, vehicle width, lateral position of left-turn vehicle, distance between driver eye of left-turn vehicle and its front, and lateral and longitudinal positions of positioned opposing left-turn vehicle. A safety margin is defined as the difference between available and required sight distances. Relationships for the mean and standard deviation of the safety margin were developed using the first-order second-moment (FOSM) method. This method identifies the offset (distance between left edge of the left-turn lane and right edge of the opposing left-turn lane) at signalized intersections for a desired probability of noncompliance based on intersection and traffic characteristics. The proposed reliability method was validated using Monte Carlo simulation, and design graphs were established. The results show that the deterministic method provides very conservative offsets and that the offset is most sensitive to vehicle width and lateral distance-related variables and less sensitive to longitudinal distance-related variables.","PeriodicalId":305908,"journal":{"name":"Journal of Transportation Engineering-asce","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128954179","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: 15

Routing Trains with Consideration of Congestion-Induced Link and Node Delay 考虑拥塞引起的链路和节点延迟的列车路由

Journal of Transportation Engineering-asce Pub Date : 2016-03-01 DOI: 10.1061/(ASCE)TE.1943-5436.0000826

Y. Lai, Chung-En Hsu, Ming-Hsuan Wu

引用次数: 0

Performance Evaluation and Correction Functions for Automated Pedestrian and Bicycle Counting Technologies 行人和自行车自动计数技术的性能评价和校正功能

Journal of Transportation Engineering-asce Pub Date : 2016-03-01 DOI: 10.1061/(ASCE)TE.1943-5436.0000828

Frank R. Proulx, R. Schneider, L. Miranda-Moreno

{"title":"Performance Evaluation and Correction Functions for Automated Pedestrian and Bicycle Counting Technologies","authors":"Frank R. Proulx, R. Schneider, L. Miranda-Moreno","doi":"10.1061/(ASCE)TE.1943-5436.0000828","DOIUrl":"https://doi.org/10.1061/(ASCE)TE.1943-5436.0000828","url":null,"abstract":"Automated counting technologies are one of the fastest growing sources of data in the non-motorized transportation field. Although automated counts make it possible to collect data for longer time periods and to document temporal variations in volumes more effectively than manual counts, all of the technologies being used are subject to systematic miscount rates that must be accounted for to generate accurate volume estimates. In this paper, accuracy and precision rates are tested for six automated pedestrian and bicycle counting technologies: passive infrared, active infrared, radio beam, pneumatic tubes, inductive loops, and piezoelectric strips. For some technologies, multiple products are tested. Counting devices were installed at 13 sites in seven cities to introduce variation in environmental (weather) conditions and volume levels, and manual validation counts were conducted based on video footage taken at each of the test sites. Correction functions are developed for each technology to increase accuracy of volume estimates. Various environmental conditions including temperature, rain, and lighting are tested in the development of the correction functions. For most technologies, a net undercount effect was observed that appears to worsen at higher volumes. Average error rates (average percentage deviation) for the tested technologies range from 0.55% for inductive loops to −17.38% for pneumatic tubes. However, after applying correction functions accuracy improves for nearly all technologies. Language: en","PeriodicalId":305908,"journal":{"name":"Journal of Transportation Engineering-asce","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133692592","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: 13

Robust Deflection Indices from Traffic-Speed Deflectometer Measurements to Predict Critical Pavement Responses for Network-Level Pavement Management System Application 交通速度偏转仪测量的稳健偏转指标预测网络级路面管理系统的关键路面响应

Journal of Transportation Engineering-asce Pub Date : 2016-03-01 DOI: 10.1061/(ASCE)TE.1943-5436.0000832

Mahdi Nasimifar, Senthilmurugan Thyagarajan, R. Siddharthan, N. Sivaneswaran

{"title":"Robust Deflection Indices from Traffic-Speed Deflectometer Measurements to Predict Critical Pavement Responses for Network-Level Pavement Management System Application","authors":"Mahdi Nasimifar, Senthilmurugan Thyagarajan, R. Siddharthan, N. Sivaneswaran","doi":"10.1061/(ASCE)TE.1943-5436.0000832","DOIUrl":"https://doi.org/10.1061/(ASCE)TE.1943-5436.0000832","url":null,"abstract":"AbstractTraffic-speed deflectometers (TSD) are used in several countries to evaluate the pavement structural condition at the network level. Fatigue and rutting strains are commonly used as pavement critical responses in mechanistic-empirical design procedures to predict pavement structural performance. For successful pavement management system (PMS) application, robust indices that can be readily computed from TSD measurements and best related to the pavement critical responses should be identified. In this study, a comprehensive sensitivity analysis on deflection basin indices and their correlations with fatigue and rutting strains is performed using a range of pavement structures. A commercially available program was used in the first part of the study to compute dynamic deflection basins and evaluate the effects of material properties and vehicle speed on the indices. The indices that best relate to critical responses were identified from the software analyses and subsequently evaluated with a wider r...","PeriodicalId":305908,"journal":{"name":"Journal of Transportation Engineering-asce","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116559056","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: 35

Urban noise analysis using multinomial logistic regression 基于多项逻辑回归的城市噪声分析

Journal of Transportation Engineering-asce Pub Date : 2016-02-29 DOI: 10.1061/(ASCE)TE.1943-5436.0000843

D. Geraghty, M. O’Mahony

引用次数: 6

Evaluation of 3D Automated Systems for the Measurement of Pavement Surface Cracking 路面裂缝三维自动测量系统的评价

Journal of Transportation Engineering-asce Pub Date : 2016-02-25 DOI: 10.1061/(ASCE)TE.1943-5436.0000841

P. Serigos, J. Prozzi, A. Smit, Mike Murphy

引用次数: 11

Random Effect Models to Predict Operating Speed Distribution on Rural Two-Lane Highways 农村双车道高速公路运行速度分布预测的随机效应模型

Journal of Transportation Engineering-asce Pub Date : 2016-02-22 DOI: 10.1061/(ASCE)TE.1943-5436.0000844

M. Bassani, C. Cirillo, S. Molinari, Jean-Michel Tremblay

引用次数: 19

Modeling the Effects of Rainfall Intensity on the Heteroscedastic Traffic Speed Dispersion on Urban Roads 降雨强度对城市道路异方差交通速度离散影响的建模

Journal of Transportation Engineering-asce Pub Date : 2016-02-16 DOI: 10.1061/(ASCE)TE.1943-5436.0000833

Jian Li, W. Lam, Xingang Li

{"title":"Modeling the Effects of Rainfall Intensity on the Heteroscedastic Traffic Speed Dispersion on Urban Roads","authors":"Jian Li, W. Lam, Xingang Li","doi":"10.1061/(ASCE)TE.1943-5436.0000833","DOIUrl":"https://doi.org/10.1061/(ASCE)TE.1943-5436.0000833","url":null,"abstract":"The heteroscedasticity refers to a collection of random variables with a subpopulation that have different dispersions from others. The variable dispersion could be quantified by measures of statistical dispersion such as standard deviation or coefficient of standard deviation. This study aims to model the effects of rainfall intensity on the heteroscedastic traffic speed dispersion on urban roads. The traffic and rainfall intensity data were collected by a selected video traffic detector and its nearest rainfall station in Hong Kong, respectively. The coefficient of variation of speed (CVS) was employed to measure the vehicular traffic speed dispersion. The analysis shows that the empirical values of CVS typically range from 0.05 to 0.2 at different traffic densities and rainfall intensities, and the exponential function provides a good fit to traffic speed data under both dry and rain conditions. A generalized function of CVS with the effects of rainfall intensity is proposed, calibrated, and validated with different sets of empirical data. The calibration and validation results show that the proposed generalized function of CVS fits well with the empirical data. The empirical findings and the generalized function of CVS proposed in this study may benefit for assessing and modeling the level-of-service performance of urban roads in Pacific Rim cities similar to Hong Kong with relatively high annual rainfall intensity. Language: en","PeriodicalId":305908,"journal":{"name":"Journal of Transportation Engineering-asce","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128447136","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: 5

Roundabout System Capacity Estimation and Control Strategy with Origin-Destination Pattern 基于始发-目的地模式的环岛系统容量估计与控制策略

Journal of Transportation Engineering-asce Pub Date : 2016-02-08 DOI: 10.1061/(ASCE)TE.1943-5436.0000838

H. L. Khoo, Chunyan Tang

引用次数: 5