Page 40 - Proceeding of Atrans Young Researcher's Forum 2019_Neat

“Transportation for A Better Life:
Smart Mobility for Now and Then”

23 August 2019, Bangkok, Thailand

go-decision after the first driver chooses frames per second. The behavior of the vehicles in
to pass the intersection. the through direction of the main road is focused.
- A stop-decision by a driver in an adjacent The reference marks are installed every 10 m. on the
lane can also prompt the following driver
to stop. curb at the outer-separator and the median. This
Baratian- The stopping behavior increased following study selects off-peak periods from 8:30 am. to
Ghorghi et al. the installation of RLCs. 16:30. to observe traffic behavior to avoid the
(2017) influence of dense traffic.
Xiong et al. Drivers’ decision on stopping or not at a
(2016) yellow signal indication was associated with
different variables including age,
distraction, pedal conditions, and time to
stop line.
Haque et al. Drivers are more likely to run yellow lights
(2016) when the driving speed increases.
Long et al. A countdown timer can better assist drivers
(2013) in their decision-making process and thus
may reduce hazardous driving maneuvers
during the phase transition period.
Elmitiny et al. Vehicle’s distance from the intersection at
(2010) the onset of yellow, operating speed, and
position in the traffic flow are the most Fig. 2 Camera location, view, and reference lines
important predictors for both the stop/go
decision and red-light running violation.
2.3 Data extraction
For the data extraction, the trained research
2. Research methodology assistant coded the video data as shown in Table 2.
2.1 Study site At the onset of yellow light, the passenger cars and
This study selects the three-legs signalized the motorcycles approaching the intersection, within
intersection located in Khon Kaen city, a major city 150 m from stopping line, were tracked. Their
located in the Northeastern part of Thailand. The 12- decision to stop or go, vehicle types, and distance
lanes divided arterial road with 80 kph speed limits from the stop line are recorded. For the
and the 4-lane divided collector road form this motorcyclists, it is also possible to observe driver
intersection. The study area is controlled by the 3- gender, age, the pillion passengers, and the safety
phases fixed-time traffic signal and equipped with a helmet used.
countdown timer. The signal timing is operated with To reveal the influence of nearby vehicles,
130 seconds cycle length, 5 seconds yellow interval,
and 2 seconds all-red interval. their types and behaviors are observed. This includes
the vehicle that presents within 55 m from a subject

vehicle as Bao, et. al., (2018) found that they
influence a driver's stop/go decision. This study
observed the adjacent vehicles in 3 cases including;
1) the front vehicle in the same lane, 2) the front
vehicle in an adjacent lane, and 3) the following
vehicle.
The front vehicle in the same lane is
observed in 5 situations including; no front vehicles
(NFV), front vehicles in the same type decide to stop
(FVSS), or decide to go (FVSG), and front vehicles
in the different type decide to stop (FVDS), or decide

to go (FVDG). The back vehicle in the same lane is
Fig 1. Study site observed in 3 situations including; no back vehicles
(NBV), back vehicles in the same type (BVS) and a
2.2 Data collection back vehicle in the different types (BDS). The front
The video camera was installed on the vehicle in the adjacent lane (FVA) is observed in the
pedestrian bridge, located 160 m. from the same manner as FV. The only difference is their
intersection stopping line, with the 8 m. height from position in traffic.
the ground. The selected video camera can record 25

15