The Highway Capacity Manual prescribes level-of-service (LOS) criteria as a function of traffic density to categorize the operational conditions of both rural and urban freeway sections. This density-based level of service is ideally suited to the assessment of urban freeways when the performance must be optimized to meet high traffic demand. There is, however, some question as to whether density is the appropriate indicator of the quality of service on rural freeways, since drivers may think more in terms of psychological or emotional comfort for freeways, which generally serve long, high-speed trips and rarely experience more than moderate congestion levels. Three specific measures are examined that have at least an intuitive relationship to the concept of driver comfort: (a) acceleration noise, which is a measure of the physical turbulence in the traffic stream; (b) number and duration of cruise control applications, which could serve as a general indication of driver convenience or inconvenience; and (c) percent time spent following, which is already accepted as the basis for determining the level of service on rural two-lane highways. The three candidate measures were estimated for a hypothetical section of rural freeway by simulation, using the CORSIM model. The kinematic relationships of individual vehicles within the traffic stream were estimated by postprocessing the simulation data for each second of operation. All of the measures considered in this study have conceptual appeal. All have produced interesting and potentially usable results with respect to their relationships to traffic volume. Although the simulation results are interesting, further studies focusing on driver opinions, behavior, or field measurements, or all three, would likely be necessary to support the development and recommendation of a specific set of LOS criteria that recognizes the differences between the urban and rural freeway driving environments.
[1]
Yilmaz Hatipkarasulu,et al.
Results of Car Following Analyses Using Global Positioning System
,
2000
.
[2]
Kevin Balke,et al.
Factors affecting traffic operations on seven-lane cross sections
,
1993
.
[3]
Thomas Winzer.
MEASUREMENT OF ACCELERATION NOISE AND DISCUSSION OF THE ENERGY MODEL DEVELOPED BY DREW
,
1981
.
[4]
Masanori Takahashi,et al.
PREDICTOR MODEL OF TRAFFIC ACCIDENTS IN CONSIDERATION OF ACCELERATION NOISE AND TRAFFIC CONDITIONS
,
1996
.
[5]
Conrad L Dudek,et al.
FREEWAY LEVEL OF SERVICE AS DESCRIBED BY AN ENERGY- ACCELERATION NOISE MODEL
,
1967
.
[6]
P D Pant,et al.
EVALUATION OF STEADY BURN LIGHTS FOR TRAFFIC CONTROL IN HIGHWAY WORK ZONES, PHASE II. FINAL REPORT
,
1992
.
[7]
S. B. Pattnaik,et al.
Acceleration noise and level of service of urban roads - A case study
,
1997
.
[8]
Robert Herman,et al.
Traffic Dynamics: Analysis of Stability in Car Following
,
1959
.
[9]
P D Pant,et al.
EVALUATION OF STEADY BURN LIGHTS FOR TRAFFIC CONTROL IN HIGHWAY WORK ZONES. PHASE 2
,
1992
.
[10]
Donald Richard Drew,et al.
Traffic flow theory and control
,
1968
.