Highway Travel Time Estimation With Captured In-Vehicle Wi-Fi Mac Addresses: Mechanism, Challenges, Solutions and Applications

Li, Pengfei; Mirchandani, Pitu B.; Zhang, Lei; Zhang, Li

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Highway Travel Time Estimation With Captured In-Vehicle Wi-Fi Mac Addresses: Mechanism, Challenges, Solutions and Applications

2018-01-01
By Li, Pengfei ; Mirchandani, Pitu B. ; Zhang, Lei

File Language:

English

Details

Creators:

Li, Pengfei ; Mirchandani, Pitu B. ; Zhang, Lei ; Zhang, Li
Corporate Creators:

Mississippi State University. Department of Civil and Environmental Engineering ; Arizona State University
Corporate Contributors:

SOLARIS Consortium ; United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

Arizona;Mississippi;United States
Corporate Publisher:

SOLARIS Consortium ; University Transportation Centers Program (U.S.)
Abstract:

Passive sensing technologies have emerged to supplement the traffic performance measurement recently. One successful is the travel time estimation based on in-vehicle Bluetooth Media Access Control (MAC) address capturing and matching at different locations. In this paper, we present a novel approach to measuring the traffic performance on highways based on in-vehicle Wi-Fi MAC address capturing. While this novel approach shares similarities with the Bluetooth-based solution, the Wi-Fi sensors can reduce the measuring errors by up to 90% and collect 300% more valid travel time samples than the Bluetooth sensors. We also design algorithms to screen outliers and estimate dynamic travel times on freeways and arterials respectively. At last, experiments in the field are conducted to evaluate the Wi-Fi sensing areas under different antenna configurations and cross compare the travel time estimation with Wi-Fi sensors and Bluetooth sensors. The findings include the Wi-Fi sensors considerably outperform the Bluetooth sensors in capturing MAC address of the passing vehicles, especially in low-traffic areas.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/36835/dot_36835_DS1.pdf
File Type:

[PDF - 1.29 MB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha-512:6c980681a1c01c211e73cbdeea79bdbd8caaed38dc701ea29034d1769cf65d2a3ab3f1ab79c05b91a547b3b7935a39facee368bf335f0d8ea851ec795ee67849

File Language:

English

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