An Intelligent Real Time Road Sign System

This paper presents an intelligent road sign that provides real time travel time and road conditions. The behavior of US Interstate 94 was modelled, where the typical road throughput was simulated and published to an MQTT broker for the embedded system to display the expected travel time to Ann Arbor, Michigan from the US23 junction. The embedded system additionally sampled a digital temperature and humidity sensor to note road conditions, where an external input allowed operators to provide a real time update when an unexpected event causes traffic (i.e. vehicle collision) or when the road has been cleared. System requirements, design, implementation details, and performance evaluation are included.

[1]  Chung-Ming Huang,et al.  A Centralized Traffic Control Mechanism for Evacuation of Emergency Vehicles Using the DSRC Protocol , 2009, 2009 4th International Symposium on Wireless Pervasive Computing.

[2]  Lihua Huang,et al.  Cloud Computing and the Internet of Things: Technology Innovation in Automobile Service , 2013, HCI.

[3]  Philippe J. Sartori,et al.  LTE evolution for vehicle-to-everything services , 2016, IEEE Communications Magazine.

[4]  Claudio Cicconetti,et al.  Performance analysis of an LTE gateway for the IoT , 2012, 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[5]  Dipti Srinivasan,et al.  Neural Networks for Real-Time Traffic Signal Control , 2006, IEEE Transactions on Intelligent Transportation Systems.

[6]  Ch. Ramesh Babu,et al.  Internet of Vehicles: From Intelligent Grid to Autonomous Cars and Vehicular Clouds , 2016 .

[7]  Daiheng Ni,et al.  Calculation of traffic flow breakdown probability to optimize link throughput , 2010 .

[8]  Zhenyu Yang,et al.  A Novel MBSFN Scheme for Vehicle-to-Vehicle Safety Communication Based on LTE Network , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

[9]  Raja Sengupta,et al.  Vehicle-to-vehicle safety messaging in DSRC , 2004, VANET '04.

[10]  Luca Delgrossi,et al.  IEEE 1609.4 DSRC multi-channel operations and its implications on vehicle safety communications , 2009, 2009 IEEE Vehicular Networking Conference (VNC).

[11]  Md Khalilur Rhaman,et al.  An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system , 2016, 2016 18th International Conference on Advanced Communication Technology (ICACT).

[12]  David L. Strayer,et al.  Driven to Distraction: Dual-Task Studies of Simulated Driving and Conversing on a Cellular Telephone , 2001, Psychological science.

[13]  Kampus Baru,et al.  An Algorithm for Predicting the Speed of Traffic Light Violators , 2011 .

[14]  S. Bansal,et al.  An intelligent traffic control system using RFID , 2009, IEEE Potentials.

[15]  Lily Elefteriadou,et al.  Tracking Vehicles Equipped with Dedicated Short-Range Communication at Traffic Intersections , 2017, DIVANet@MSWiM.

[16]  Seth D. Guikema,et al.  Natural disaster risk analysis for critical infrastructure systems: An approach based on statistical learning theory , 2009, Reliab. Eng. Syst. Saf..

[17]  Sherali Zeadally,et al.  Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies , 2015, IEEE Wireless Communications.

[18]  Sungrae Cho,et al.  Mitigating wifi interference to improve throughput for in-vehicle infotainment networks , 2016, IEEE Wireless Communications.