Point and Interval Travel Time Prediction in Urban Arterials Using Wi-Fi MAC Scanning Data-Reference-Cited by-同舟云学术

Point and Interval Travel Time Prediction in Urban Arterials Using Wi-Fi MAC Scanning Data

Published:2022-04 Issue:4 Volume:148 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Patra Satya S.¹,Muthurajan Bharathiraja²,Devi Vanajakshi Lelitha³

Affiliation:

1. Doctoral Student, Lyles School of Civil Engineering, Purdue Univ., West Lafayette, IN 47906.

2. Doctoral Student, Dept. of Civil Engineering, IIT Madras, Chennai 600036, India.

3. Professor, Dept. of Civil Engineering, IIT Madras, Chennai 600036, India (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.0000650

Reference62 articles.

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2. Assessment of antenna characteristic effects on pedestrian and cyclists travel-time estimation based on Bluetooth and WiFi MAC addresses;Abedi N.;Transp. Res. Part C: Emerging Technol.,2015

3. Abraham, B., and J. Ledolter. 2009. Statistical methods for forecasting. New York: Wiley.

4. Adib F. H. Mao Z. Kabelac D. Katabi and R. C. Miller. 2015. “Smart homes that monitor breathing and heart rate.” In Proc. 33rd Annual ACM Conf. on Human Factors in Computing Systems 837–846. New York: Association for Computing Machinery.

5. airodump-ng [Aircrack-ng]. 2020. “Airodump-ng.” Accessed January 10 2021. https://www.aircrack-ng.org/doku.php?id=airodump-ng.

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