Leveraging Connected Vehicle Technology and Telematics to Enhance Vehicle Fuel Efficiency in the Vicinity of Signalized Intersections

2014 ◽  
Vol 20 (1) ◽  
pp. 33-44 ◽  
Author(s):  
Raj Kishore Kamalanathsharma ◽  
Hesham A. Rakha
Keyword(s):  
Fuel Efficiency ◽  
Signalized Intersections ◽  
Connected Vehicle ◽  
Connected Vehicle Technology ◽  
Vehicle Technology ◽  
Vehicle Fuel Efficiency

A Distributed Message Delivery Infrastructure for Connected Vehicle Technology Applications

2018 ◽  
Vol 19 (3) ◽  
pp. 787-801 ◽  
Author(s):  
Yuheng Du ◽  
Mashrur Chowdhury ◽  
Mizanur Rahman ◽  
Kakan Dey ◽  
Amy Apon ◽  
...  
Keyword(s):  
Connected Vehicle ◽  
Message Delivery ◽  
Technology Applications ◽  
Connected Vehicle Technology ◽  
Vehicle Technology

Platoon recognition using connected vehicle technology

2018 ◽  
Vol 23 (1) ◽  
pp. 12-27 ◽  
Author(s):  
Kamonthep Tiaprasert ◽  
Yunlong Zhang ◽  
Xin Ye
Keyword(s):  
Connected Vehicle ◽  
Connected Vehicle Technology ◽  
Vehicle Technology

scholarly journals Dynamic Eco-Driving Speed Guidance at Signalized Intersections: Multivehicle Driving Simulator Based Experimental Study

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Peng Chen ◽  
Cong Yan ◽  
Jian Sun ◽  
Yunpeng Wang ◽  
Shenyang Chen ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Driving Simulator ◽  
Fuel Efficiency ◽  
Signalized Intersections ◽  
Specific Power ◽  
Programming Approach ◽  
Time Signal ◽  
Connected Vehicle ◽  
Dynamic Programming Approach ◽  
Driving Speed

Variations in vehicle fuel consumption and gas emissions are usually associated with changes in cruise speed and the aggressiveness of drivers’ acceleration/deceleration, especially at traffic signals. In an attempt to enhance vehicle fuel efficiency on arterials, this study developed a dynamic eco-driving speed guidance strategy (DESGS) using real-time signal timing and vehicle positioning information in a connected vehicle (CV) environment. DESGS mainly aims to optimize the fuel/emission speed profiles for vehicles approaching signalized intersections. An optimization-based rolling horizon and a dynamic programming approach were proposed to track the optimal guided velocity for individual vehicles along the travel segment. In addition, a vehicle specific power (VSP) based approach was integrated into DESGS to estimate the fuel consumption and CO2 emissions. To evaluate the effectiveness of the overall strategy, 15 experienced drivers were recruited to participate in interactive speed guidance experiments using multivehicle driving simulators. It was found that compared to vehicles without speed guidance, those with DESGS had a significantly reduced number of stops and approximately 25% less fuel consumption and CO2 emissions.

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