Modeling the Time Spent at Points of Interest Based on Google Popular Times-Reference-Cited by-同舟云学术

Modeling the Time Spent at Points of Interest Based on Google Popular Times

Published:2023 Issue: Volume:11 Page:88946-88959
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mahdi Ali Jamal¹^ORCID,Tettamanti Tamás²^ORCID,Esztergár-Kiss Domokos¹^ORCID

Affiliation:

1. Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Budapest, Hungary

2. Department of Control for Transportation and Vehicle Systems, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Budapest, Hungary

Funder

National Research, Development and Innovation (NRDI) Office, Hungary, and the ERA-NET COFUND/EJP COFUND Program with co-funding from the European Union Horizon 2020 Research and Innovation Program

János Bolyai Research Fellowship of the Hungarian Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10223210.pdf?arnumber=10223210

Reference61 articles.

1. Travel time prediction with LSTM neural network

2. Travel Behavior of Car Travelers with the Presence of Park-and-Ride Facilities and Autonomous Vehicles

3. Dynamic Travel Time Prediction with Real-Time and Historic Data

4. Valuation of Travel Time Savings

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prioritizing Influential Factors on Tourist Decision-Making for Choosing Destinations Using Parsimonious Analytical Hierarchy Process (PAHP);Tourism Planning & Development;2023-10-30