找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Highway Travel Time Estimation With Data Fusion; Francesc Soriguera Martí Book 2016 Springer-Verlag Berlin Heidelberg 2016 Highway Traffic

[復(fù)制鏈接]
查看: 34532|回復(fù): 42
樓主
發(fā)表于 2025-3-21 19:39:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Highway Travel Time Estimation With Data Fusion
編輯Francesc Soriguera Martí
視頻videohttp://file.papertrans.cn/428/427053/427053.mp4
概述A comprehensive and accurate overview of freeway travel time estimation methods.Proposes original solutions to estimate travel time.Analyzes, criticizes and enhances common direct measurement methods
叢書名稱Springer Tracts on Transportation and Traffic
圖書封面Titlebook: Highway Travel Time Estimation With Data Fusion;  Francesc Soriguera Martí Book 2016 Springer-Verlag Berlin Heidelberg 2016 Highway Traffic
描述.This monograph presents a simple,innovative approach for the measurement and short-term prediction of highwaytravel times based on the fusion of inductive loop detector and toll ticketdata. The methodology is generic and not technologically captive, allowing itto be easily generalized for other equivalent types of data.? The bookshows how Bayesian analysis can be used to obtain fused estimates that are morereliable than the original inputs, overcoming some of the drawbacks oftravel-time estimations based on unique data sources. The developed methodologyadds value and obtains the maximum (in terms of travel time estimation) fromthe available data, without recurrent and costly requirements for additionaldata. The application of the algorithms to empirical testing in the AP-7 tollhighway in Barcelona proves that it is possible to develop an accuratereal-time, travel-time information system on closed-toll highways with theexisting surveillance equipment, suggesting that highway operators might providetheir customers with such an added value with little additional investment intechnology..
出版日期Book 2016
關(guān)鍵詞Highway Traffic; Loop Detector Data; Toll Ticket Data; Traffic Data Fusion; Bayesian Data Fusion; Fuzzy I
版次1
doihttps://doi.org/10.1007/978-3-662-48858-4
isbn_softcover978-3-662-56959-7
isbn_ebook978-3-662-48858-4Series ISSN 2194-8119 Series E-ISSN 2194-8127
issn_series 2194-8119
copyrightSpringer-Verlag Berlin Heidelberg 2016
The information of publication is updating

書目名稱Highway Travel Time Estimation With Data Fusion影響因子(影響力)




書目名稱Highway Travel Time Estimation With Data Fusion影響因子(影響力)學(xué)科排名




書目名稱Highway Travel Time Estimation With Data Fusion網(wǎng)絡(luò)公開度




書目名稱Highway Travel Time Estimation With Data Fusion網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Highway Travel Time Estimation With Data Fusion被引頻次




書目名稱Highway Travel Time Estimation With Data Fusion被引頻次學(xué)科排名




書目名稱Highway Travel Time Estimation With Data Fusion年度引用




書目名稱Highway Travel Time Estimation With Data Fusion年度引用學(xué)科排名




書目名稱Highway Travel Time Estimation With Data Fusion讀者反饋




書目名稱Highway Travel Time Estimation With Data Fusion讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:27:55 | 只看該作者
Accuracy of Travel Time Estimation Methods Based on Punctual Speed Interpolations,anging from the simplest, and mostly implemented in practice, constant speed approach, to recent and more complex mathematical interpolations. The present chapter shows that all speed interpolation methods that omit traffic dynamics and queue evolution do not contribute to better travel time estimat
板凳
發(fā)表于 2025-3-22 03:52:57 | 只看該作者
Design of Spot Speed Methods for Real-Time Provision of Traffic Information,ich can lead to counterintuitive results. Specifically, it is claimed that using travel times estimated with the traditional spot speed Midpoint Algorithm, the performance of the real-time information system is better than by using much more accurate directly measured travel times. Guidelines for an
地板
發(fā)表于 2025-3-22 04:54:58 | 只看該作者
5#
發(fā)表于 2025-3-22 10:55:36 | 只看該作者
6#
發(fā)表于 2025-3-22 13:35:55 | 只看該作者
7#
發(fā)表于 2025-3-22 18:55:11 | 只看該作者
of the most important modern trends that the requirements for achieving international tax harmonization and unification on the one hand have called for, and also as a start toward issuing and building accounting standards directly directed to tax accounting as one of the attempts Overcoming the tax
8#
發(fā)表于 2025-3-23 00:21:09 | 只看該作者
Francesc Soriguera Martíuate knowledge, skills, and experience. Equally, it is essential to introduce forensic accounting education to meet the existed marketplace demands. This chapter is devoted to provide an overview about the concept of forensic accounting and how the entire world has significantly affected by the whit
9#
發(fā)表于 2025-3-23 04:40:37 | 只看該作者
10#
發(fā)表于 2025-3-23 08:14:07 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 18:14
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
衡水市| 绥阳县| 呼和浩特市| 革吉县| 呼伦贝尔市| 迁西县| 武邑县| 和政县| 长治县| 孟连| 剑阁县| 洛宁县| 庆安县| 高平市| 内江市| 屯昌县| 临沧市| 大同市| 莫力| 成安县| 鹤壁市| 大英县| 惠东县| 和政县| 富顺县| 成都市| 太康县| 新津县| 玉屏| 崇文区| 印江| 宝山区| 府谷县| 灵璧县| 阳泉市| 含山县| 常德市| 宁陕县| 甘孜县| 巴中市| 大港区|