ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)最新文献_第2页

A simulation approach for performance evaluation of proposed automated container terminals 拟建自动化集装箱码头性能评估的仿真方法

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585) Pub Date : 2001-08-25 DOI: 10.1109/ITSC.2001.948721

C. I. Liu, H. Jula, Petros A. Ioannou

引用次数: 11

A feature-based real-time traffic tracking system using spatial filtering 一种基于特征的空间滤波实时交通跟踪系统

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585) Pub Date : 2001-08-25 DOI: 10.1109/ITSC.2001.948711

Xinyu Liu, D. Yao, L. Cao, Lihui Peng, Zuo Zhang

引用次数: 5

Development of a map matching method using the multiple hypothesis technique 基于多重假设技术的地图匹配方法的发展

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585) Pub Date : 2001-08-25 DOI: 10.1109/ITSC.2001.948623

Jong-Sun Pyo, Dongho Shin, T. Sung

引用次数: 154

Multilevel-extension for laserscanners 多电平扩展激光扫描仪

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585) Pub Date : 2001-08-25 DOI: 10.1109/ITSC.2001.948698

V. Willhoeft, K. Fuerstenberg

引用次数: 2

A Gaussian maximum likelihood formulation for short-term forecasting of traffic flow 交通流量短期预测的高斯极大似然公式

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585) Pub Date : 2001-08-25 DOI: 10.1109/ITSC.2001.948646

Wei-Hua Lin

{"title":"A Gaussian maximum likelihood formulation for short-term forecasting of traffic flow","authors":"Wei-Hua Lin","doi":"10.1109/ITSC.2001.948646","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948646","url":null,"abstract":"Traffic counts are key data generated by traffic surveillance systems. In predicting traffic flows, it is commonplace to assume that traffic at a given location repeats itself from day to day and the change in traffic happens gradually rather than abruptly. Consequently, many existing models for short-term traffic flow forecasting use historical traffic information, real-time traffic counts, or both. This paper proposes a new model based on the Gaussian maximum likelihood method, which explicitly makes use of both historical information and real-time information in an integrated way. The model considers flows and flow increments jointly and treats them as two random variables represented by two normal distribution functions. Each assumption made in the model is verified against the field data. The physical structure of the model is easy to interpret. Computationally, the model is simple to implement and little effort is required for model calibration. The performance of the proposed model is compared with four other models using field data. The proposed model consistently yields predictions with the smallest absolute deviance and the smallest mean square error.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129391227","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: 60

Mobile detection of traffic infrastructure 移动检测交通基础设施

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585) Pub Date : 2001-08-25 DOI: 10.1109/ITSC.2001.948730

L. Paletta, G. Paar, A. Wimmer

引用次数: 7

Vehicle detection in static road images with PCA-and-Wavelet-Based classifier 基于pca和小波分类器的静态道路图像车辆检测

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585) Pub Date : 2001-08-25 DOI: 10.1109/ITSC.2001.948752

Junwen Wu, Xuegong Zhang, Jie Zhou

引用次数: 41

The use of SCOOT outputs at ROMANSE in Southampton 在南安普顿的罗曼斯使用SCOOT输出

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585) Pub Date : 2001-08-25 DOI: 10.1109/ITSC.2001.948628

R. Morris, T. Cherrett

引用次数: 5

Logistic control for fully automated large scale freight transport systems; event based control for the underground logistic system Schiphol 全自动化大型货运系统的物流控制史基浦机场地下后勤系统的事件控制

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585) Pub Date : 2001-08-25 DOI: 10.1109/ITSC.2001.948757

A. Verbraeck, C. Versteegt

引用次数: 17

Preferred time-headway of highway drivers 公路司机的首选车头时距

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585) Pub Date : 2001-08-25 DOI: 10.1109/ITSC.2001.948767

T. Ayres, Li Li, D. Schleuning, D. Young

{"title":"Preferred time-headway of highway drivers","authors":"T. Ayres, Li Li, D. Schleuning, D. Young","doi":"10.1109/ITSC.2001.948767","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948767","url":null,"abstract":"The preferred time-headway of drivers in highway conditions is related to the likelihood of rear-end collisions. We studied traffic data from a section of southbound highway 101- a heavily commuted eight-lane freeway between San Francisco and the Silicon valley in California. We observed two parameters that drivers regulate during free flow, rush hour, and heavy traffic conditions: (1) the speed of their vehicle; and (2) the time-headway to the preceding vehicle. During free flow traffic, the preferred speeds show low variation within lanes, but large variations from lane to lane. During rush hour traffic, the time-headway between vehicles varies between 1 and 2 s for a range of traffic speeds. For all traffic conditions a lower limit of 1s is seen in time-headway, even when traffic volume does not push drivers toward tight spacing. The lower limit of 1s is consistent with what was found in several previous studies, but is significantly shorter than the 3s headway that is recommended by driving manuals. The short time-headways observed are within the limit of typical reaction time for braking by alert drivers, but probably lead to occasional accidents given variability in reaction times, decisions, and vehicle braking capabilities, especially when preview information is not available.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125598311","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: 92