Low-Cost and Energy-Saving Wireless Sensor Network for Real-Time Urban Mobility Monitoring System

This paper presents a low-cost and energy-saving urban mobility monitoring system based on wireless sensor networks (WSNs). The primary components of the proposed sensor unit are a Bluetooth sensor and a Zigbee transceiver. Within the WSN, the Bluetooth sensor captures the MAC addresses of Bluetooth units equipped in mobile devices and car navigation systems. The Zigbee transceiver transmits the collected MAC addresses to a data center without any major communications infrastructures (e.g., fiber optics and 3G/4G network). A total of seven prototype sensor units have been deployed on roadway segments in Newark, New Jersey, for a proof of concept (POC) test. The results of the POC test show that the performance of the proposed sensor unit appears promising, resulting in 2% of data drop rates and an improved Bluetooth capturing rate.

[1]  P. Bonnifait,et al.  Characterization of GPS multipath for passenger vehicles across urban environments , 2009 .

[2]  David Bretherton,et al.  TRAFFIC MONITORING AND CONGESTION MANAGEMENT IN THE SCOOT AND UTC SYSTEM , 1998 .

[3]  F Biora,et al.  COSMOS: congestion management strategies and methods in urban sites , 1997 .

[4]  Ashish Bhaskar,et al.  Fundamental understanding on the use of Bluetooth scanner as a complementary transport data , 2013 .

[5]  Romain Billot,et al.  Spatiotemporal Analysis of Bluetooth Data: Application to a Large Urban Network , 2015, IEEE Transactions on Intelligent Transportation Systems.

[6]  H. T. Mouftah,et al.  WSN Architectures for Intelligent Transportation Systems , 2009, 2009 3rd International Conference on New Technologies, Mobility and Security.

[7]  Partha Chakroborty,et al.  Using Bus Travel Time Data to Estimate Travel Times on Urban Corridors , 2004 .

[8]  Wenfeng Li,et al.  Real-time traffic information collecting and monitoring system based on the internet of things , 2011, 2011 6th International Conference on Pervasive Computing and Applications.

[9]  Guojie Song,et al.  An On-Road Wireless Sensor Network Approach for Urban Traffic State Monitoring , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.

[10]  José Eugenio Naranjo,et al.  Vehicle to Vehicle GeoNetworking using Wireless Sensor Networks , 2015, Ad Hoc Networks.

[11]  Zhen-ya Liu,et al.  Hardware Design of Smart Home System based on zigBee Wireless Sensor Network , 2014 .

[12]  Daniel J. Dailey,et al.  Estimating Corridor Travel Time by Using Transit Vehicles as Probes , 2003 .

[13]  Jie Lin,et al.  Real-Time Estimation of Urban Street Segment Travel Time Using Buses as Speed Probes , 2009 .

[14]  Carlos Carmona,et al.  Travel Time Forecasting and Dynamic Origin-Destination Estimation for Freeways Based on Bluetooth Traffic Monitoring , 2010 .

[15]  SuKyoung Lee,et al.  Performance improvement in ZigBee-based home networks with coexisting WLANs , 2015, Pervasive Mob. Comput..

[16]  Geoff Rose,et al.  Mobile Phones as Traffic Probes: Practices, Prospects and Issues , 2006 .

[17]  Philip J Tarnoff,et al.  Data Collection of Freeway Travel Time Ground Truth with Bluetooth Sensors , 2010 .