The first objective of this study is to analyze a successive-stage speed limit model developed for vehicles along the exit upstream ramp of direct-type freeway in China. This paper (1) explains the necessity to implement speed limit to the exit ramp upstream, (2) analyzes whether speed limit is related to the length of the deceleration lane, vehicle type, saturation, and turning ratio and (3) proposes a speed prediction model and calibrates speed-limit sign validity model and establishes successive-stage speed limit model. The results. illustrates the necessity of the using speed limit on the exit ramp. Speed-deceleration lane length curve presents two trends bounded by 200?m, so the speed limit should be in accordance with the deceleration length. Speed-small vehicle curve closing to speed-large vehicle curve presents that the vehicle type is not the factor of the speed limit. After curve fitting and polynomial regression, saturation is considered to be the most influential factor of speed. Speed-saturation prediction model and calibrated speed-limit sign validity model are built through linearization. According to the above results, successive-stage speed limit model is established. An exit ramp was implemented to verify the feasibility and validity of the model. 1. Introduction Ramps provide the connections between freeway and roads and influence traffic efficiency and safety of the freeway and ground roads. In USA, 20% to 30% of freeway truck accidents occur at or near ramps (excluding an additional 10% to 15% that occur at weaving section and surface streets), despite the fact that weaving section account for less than 5% of all freeway lane-miles [1]. Kloeden et al. have provided direct evidence that speeds just 5?km/h above the average in urban (60?km/h) areas, and 10?km/h above average in rural areas, are sufficient to double the risk of a casualty crash [2]. It can be seen that the speed of vehicles, even with minor changes, will have a significant influence on freeway safety. World Prevent Road Traffic Injuries Report [3] pointed out that speed is the first risky influence of collisions. Therefore, controlling vehicle speed and reducing speed dispersion is the key to reduce accident rates on the freeway. 2. Literature Review According to speed limit determinant factors, speed limit control methods are divided into four categories: (1)Road grade and geographic feature: The United States [4] use a legal speed limit method for certain types of road infrastructure. The value of the speed limit is mainly determined according to highway
References
[1]
M. Firestine, H. McGee, and P. Toeg, “Improving truck safety at interchanges: final report to the Federal Highway Administration,” FHWA IP-89-024, U.S. Department of Transportation, Washington, DC, USA, 1989.
[2]
C. N. Kloeden, A. J. McLean, and G. Glonek, “Reanalysis of travelling speed and the risk of crash involvement in Adelaide South Australia,” Report CR207, Australian Transport Safety Bureau, Canberra, Australia.
[3]
M. Peden, R. Scurfield, D. Sleet, et al., World Report on Road Traffic Injury Prevention, World Health Organization, Geneva, Switzerland, 2004.
[4]
G. Milliken, “Managing speed: review of current practice for setting and enforcing speed limits,” Transportation Research Board, pp. 36–70, 1998.
[5]
W. C. Taylor, Speed Zoning Guidelines: A Proposed Recommended Practice, Institute of Transportation Engineers, Washington, DC, USA, 1990.
[6]
G. Milliken, “Managing speed: review of current practice for setting and enforcing speed limits,” Special Report 254 [R], Transportation Research Board, Washington, DC, USA, 1998.
[7]
K. R. Agent, J. G. Pigman, and J. M. Weber, “Evaluation of speed limits in Kentucky,” Transportation Research Record, no. 1640, pp. 57–64, 1998.
[8]
A. A. M. Aljanahi, A. H. Rhodes, and A. V. Metcalfe, “Speed, speed limits and road traffic accidents under free flow conditions,” Accident Analysis and Prevention, vol. 31, no. 1-2, pp. 161–168, 1999.
[9]
J. Park, Modeling of setting speed limits on urban and suburban roadways [Ph.D. thesis], University of South Florida, 2003.
[10]
NCHRP, “Safety impacts and other implications of raised speed limits on high speed roads,” Contractors Final Report, 2006.
[11]
DDS, 2011 Driver’s Manual, The Department of Driver Services, 2011, http://www.dds.ga.gov/docs/forms/fulldriversmanual.pdf.
[12]
A. Edgar and M. Tziotis, “Computerizing Road Safety,” in Australia Road Research Board, pp. 46–51, 1999.
[13]
D. R. Solomon, Accidents on Main Rural Highways Related To Speed, Driver and Vehicle, US Department of Commerce, Federal Bureau of Highways, Washington, DC, USA, 1964.
[14]
W. H. Wang, W. Zhang, H. W. Guo, et al., “A sfety-based behavioural approaching model with various driving characteristics,” Transportation Research Part C-Emerging Technologies, vol. 19, no. 6, pp. 1202–1214, 2011.
[15]
J. McLean, “Driver speed behavior and rural road alignment design,” Traffic Engineering & Control Magazine, pp. 208–211, 1981.
[16]
CHELBI Engineering Consultants. INC., Guidelines for Safety Project on Highway (JTG/T B05-2004), Communications Press, 2004.
[17]
R. H. Rong, Research on Traffic Characteristic of Interchange Diverging Area [D], Southeast University, 2006.
[18]
National Research Council Washington, D.C. Highway Capacity Manual 2000, Transportation Research Board, 2000.
[19]
C. Henry Jr. and Thode, Testing For Normality, Marcel Dekker, New York, NY, USA, 2002.
[20]
K. Fitzpatrick, “Evaluation of design consistency methods for two-lane rural highways,” Publication FHWA-RD-99-174. FHWA, U.S. Department of Transportation, 1999.
[21]
B. Anders and C. Arne, The VTI Traffic Simulation Model, Swedish Road and Traffic Research Institute, 1986.
[22]
Transportation Research Board, Traffic Engineering Manual, Department of Transportation, 2000.
[23]
Speed Zoning Information, “Institute of transportation engineers[DB/OL],” 2004, http://www.ite.org/standards/speed_zoning.pdf.
[24]
Lyneka, “Texas may raise speed limit to 85 MPH,” http://abcnews.go.com/Business/texas-moves-raise-speed-limit-85-mph/story?id=13319173.