Estimating traffic demand of different transportation modes using floating smartphone data

IF 3.6 2区工程技术 Q2 TRANSPORTATION

Transportmetrica A-Transport Science Pub Date : 2024-08-28 DOI:10.1080/23249935.2024.2396935

Hekmat Dabbas, Bernhard Friedrich

引用次数: 0

Abstract

Traffic demand is crucial for traffic planning, helping to understand traffic volume, identify congestion points, and develop strategies for efficient and sustainable transportation. This paper int...

查看原文本刊更多论文

利用浮动智能手机数据估算不同交通方式的交通需求

交通需求对交通规划至关重要，有助于了解交通流量、确定拥堵点以及制定高效和可持续的交通战略。本文将对交通需求进行分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Transportmetrica A-Transport Science TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

8.10

自引率

12.10%

发文量

期刊介绍： Transportmetrica A provides a forum for original discourse in transport science. The international journal''s focus is on the scientific approach to transport research methodology and empirical analysis of moving people and goods. Papers related to all aspects of transportation are welcome. A rigorous peer review that involves editor screening and anonymous refereeing for submitted articles facilitates quality output.