原文传递 Identifying the Impact of Truck-Lane Restriction Strategies on Traffic Flow and Safety Using Simulation.
题名: Identifying the Impact of Truck-Lane Restriction Strategies on Traffic Flow and Safety Using Simulation.
作者: liu, q. garber, n. j.
关键词: truck-lane restriction strategies,traffic flow,traffic safety,impact,measurement of effectiveness (moe),truck lane restriction strategies (tlrs)/simulation, conflict, measurement of effectiveness/
摘要: The continuous growth of freight transportation over recent years has resulted in an increasing proportion of commercial vehicles on our nations highways which has led to higher truck volumes and more severe truck-related crashes every year. Safety proponents have therefore been advocating for more restrictions to be placed on these commercial vehicles in order to reduce the interaction of these larger vehicles and passenger cars. A popular strategy is the use of different lane restrictions for trucks. However, the effectiveness of these restrictions for trucks differs from case to case due to unique factors of each site, including the type of restriction used, traffic conditions and the geometric characteristics at the site. This has motivated the author to conduct this study to evaluate the impact of these restrictions on traffic operations and safety on freeways with different traffic and geometric characteristics. For the safety evaluation, this research measures the impact of different truck lane restriction strategies (TLRS) using conflict as the measurement of effectiveness (MOE). Conflict has been proven to be highly related to traffic crushes on freeways (FHWA, 1990; Sayed and Zein, 1999; Kaub, 2000). The high frequency of conflicts has also made it possible to collect adequate data for statistical analysis. The MOEs used to evaluate the impact of different lane restrictions on operational performance were lane changes, average speed, speed distribution, and volume distribution. Due to the lack of existing highway locations with different lane restrictions considered in this study, the conflict data were collected using a traffic simulation tool PARAMICS V3.0 (Quadstone Ltd., 2000), which can simulate the emergent interaction between vehicles but not random crashes on the road network. The effectiveness of different lane restrictions in terms of the above MOEs were evaluated for 14,400 different simulation scenarios by varying lane restriction strategies, traffic conditions (volume, truck percentage) and geometric characteristics (gradient, speed limit, interchange density). / Supplementary Notes: Sponsored by Department of Transportation, Washington, DC. / Availability Note: Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5285 Port Royal Road, Springfield, VA, 22161, USA.
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