A driving cycle for passenger car in the inner part of bangkok under Covid-19 situation

Abstract

Thailand is a country where passenger cars up to 7 people, the specified cylinder capacity does not exceed 1500 CC. Most used in Bangkok, which is a popular vehicle. Therefore, this type of vehicle was chosen to collect data to study behavior and create a driving cycle the selection of the data collection route includes: Ratchadaphisek Road - Rama IV Road Phaholyothin Road and Rama III Road - Narathiwat Road, etc. Which the road is in the business district which has a heavy traffic volume. At present, there is an epidemic of Covid-19 the government therefore has measures to lockdown. It affects the traffic conditions greatly compared to the normal situation. Therefore, data collection was performed on-board measurement. and grouping the time series clustering. In the part of the equipment used to store data, including : KYOWA Model EDX-200A, It is a highly accurate data storage device. by connecting to Global Positioning System: GPS sensor and connect to notebook The results of the data collection to create a driving cycle of 3 routes in the morning and evening (Peak time).It was found that most of the speed patterns used to create driving cycles were low speed patterns. The frequency of the speed range is close to the real driving and the speed range is in the range of 0-10 km/h. Which show that the traffic conditions on 3 routes are very dense. but driving in some parts can use speed and have the following movement patterns including : acceleration, deceleration,constant speed, stationary. Each route has different values.