A Wi-Fi Sensor-Based Approach for Examining Travel Time Reliability Parameters Under Mixed Traffic Conditions

Author:

Advani Chintan,Thakkar Smit,Shah Sachin,Arkatkar Shriniwas,Bhaskar Ashish

Publisher

Springer Science and Business Media LLC

Reference9 articles.

1. Carrion C, Levinson D (2013) Valuation of travel time reliability from a GPS-based experimental design. Transp Res Part C Emerg Technol 35:305–323

2. Park S, Saeedi A, Kim DS, Porter JD (2016) Measuring intersection performance from Bluetooth-based data utilized for travel time data collection. J Transp Eng 142(5):04016014

3. Tahmasseby S (2015) Traffic data: Bluetooth sensors vs. crowdsourcing—a comparative study to calculate travel time reliability in calgary, alberta, canada. J Traffic Transp Eng 3:63–79

4. Bhaskar A, Chung E (2013) Fundamental understanding on the use of Bluetooth scanner as a complementary transport data. Transp Res Part C Emerg Technol 37:42–72

5. Abbott-Jard M, Shah H, Bhaskar A (2013) Empirical evaluation of Bluetooth and Wifi scanning for road transport. In: Australasian Transport Research Forum 2013 Proceedings, Brisbane, Australia, 2–4 October 2013

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