Many of the speed, flow and density relationships postulated in different literatures are based on empirical evidences collected under favourable conditions. Those that veered into comparative analysis under contrasting conditions often use forced curves to describe the relationship between speed and flow mainly because the graph is not a function. However, the paper is an attempt to postulate that dynamic speed-flow, speed-density and flow-density functions have similar behavioural pattern. In the study, speed and flow relationship under adverse road surface condition depicted with potholes and edge subsidence among others was investigated. The study was carried out in Nigeria where adverse road surface condition on principal roads is prevalent under daylight, dry weather and off-peak conditions. It is based on the hypothesis that adverse road surface condition has significant impact on otherwise uninterrupted traffic stream. The paper compared empirical survey data from 11 locations on roadway segments with control and adverse sections. Optimum speeds for control and adverse road sections were estimated and compared. The study found 50% reduction in optimum speed and concluded that significant speed reduction will occur under adverse road surface condition. Keywords adverse-conditions, dynamic, speed-flow, speed-reduction, transportation, traffic safety, highway safety, road surface quality Language: en
[1]
D. Ngoduy,et al.
Comparison of Numerical Schemes for Macroscopic Traffic Flow Models
,
2004
.
[2]
Boris S. Kerner.
Three-phase traffic theory and highway capacity
,
2002
.
[3]
Benjamin Heydecker,et al.
Modelling Traffic with Variable Speed Limits
,
2008
.
[4]
Jorge A. Laval,et al.
Microscopic modeling of the relaxation phenomenon using a macroscopic lane-changing model
,
2008
.
[5]
A Dumbuya,et al.
PROSPECTS FOR CONTINUOUS ORIGIN-DESTINATION MATRIX ESTIMATION
,
2006
.
[6]
H. M. Zhang,et al.
A Car-Following Theory for Multiphase Vehicular Traffic Flow
,
2003
.
[7]
Haris N. Koutsopoulos,et al.
Calibration and Validation of Dynamic Traffic Assignment Systems
,
2005
.
[8]
N. van der Zijpp,et al.
ORIGIN-DESTINATION MATRIX ESTIMATION FOR THE ADVANCED TRAFFIC MANAGEMENT POLICY
,
2004
.