شماره ركورد كنفرانس :
1113
عنوان مقاله :
IMPACTS OF LEAD VEHICLE CLASS ON DRIVER’S FOLLOWING BEHAVIOUR
پديدآورندگان :
Aghabayk Kayvan نويسنده , Sarvi Majid نويسنده Associate Professor, Department of Civil Engineering , Young William A. نويسنده Department of Industrial and Systems Engineering, Ohio University
كليدواژه :
Car-following , Heterogeneous traffic conditions , Heavy Vehicle , Heterogeneous traffic pattern
عنوان كنفرانس :
مجموعه مقالات دوازدهمين كنفرانس مهندسي ترافيك
چكيده فارسي :
ABSTRACT
Car-following models play a key role in the traffic microscopic
simulations. They have a significant impact on accuracy of replicating real
world traffic behaviour. Over the last five decades many studies have
investigated passenger car drivers’ car-following behaviour. However, the
existence of heavy vehicles in the traffic stream has not received the same
attention while it may result in quite different traffic flow characteristics.
This neglect could become very crucial with attention to the increasing
number and proportion of heavy vehicles in the traffic stream. This paper
investigates the different car-following behaviour of drivers in congested
traffic conditions while following different class of vehicles (passenger car
and heavy vehicle). A real world data set obtained from a freeway in USA
was used to analyse space and time headways, driver’s reaction times and
vehicle accelerations. It was showed that drivers keep longer headways in
front, need longer time to react and follow the lead vehicle with less speed
changes when the leader is a heavy vehicle compared to the time in which
the leader is a passenger car. The findings indicate that further study is
required to develop a generalised car-following model in order to capture
these fundamental differences.
Key words: , ,
شماره مدرك كنفرانس :
3988983