Title of article :
Extracting Tehran Refuse Collection Truck Driving Cycle and Estimating the Braking Energy
Author/Authors :
Pakdelbonab, Sohrab Mechanical Engineering Department - Shahid Rajaee Teacher Training University, Tehran, Iran , Kazerooni, Afshin Mechanical Engineering Department - Shahid Rajaee Teacher Training University, Tehran, Iran , Payganeh, Gholamhassan Mechanical Engineering Department - Shahid Rajaee Teacher Training University, Tehran, Iran , Esfahanian, Mohsen Mechanical Engineering Department - Isfahan University of Technology, Tehran, Iran
Abstract :
Driving cycle is used to assess fuel consumption, pollutant emissions and
performance of the vehicle. The aim of this paper is to extract the driving
cycle for refuse collection truck and estimate its braking energy. For this
purpose, after selecting the target truck and geographic area, the
equipment needed to measure the required variables were prepared and
mounted on the truck. Then, the actual data were collected from the
performance of the target Truck while performing its mission. Since the
amount of braking energy depends on the speed, truck mass and road
grade, the speed of the vehicle is measured simultaneously with the truck
mass and road grade. The collected data are then processed and subdivided
into micro-trips. The micro-trips are clustered according to the number of
state spaces using the K-Means algorithm. Next, the representative micro
trips are selected from within the clusters and the final driving cycle is
generated. The representative driving cycle shows that the truck speed is
zero at 47% of the working time. Finally, the amount of braking power
and accumulative braking energy in the driving cycle is calculated.
Keywords :
Driving cycle , Driving characteristics , Refuse collection truck , Braking energy , K-Means algorithm , Micro trips