نتایج جستجو برای: multi axles truck
تعداد نتایج: 469667 فیلتر نتایج به سال:
Weigh-in-motion (WIM) devices record vehicle axle loads on highways. WIM data include loads, inter-axle spacings, classification, gross weights, length, and travel speed. Pavement design, management, performance studies all require data, directly as a spectrum or indirectly standard axles. In 2016, 132 were operating California’s highway network, one of the densest best-maintained clusters in U...
In this work the management of truck arrivals in a maritime terminal is investigated as possible strategy to be used for obtaining a reduction in congestion and gate queues. In particular, a non-mandatory Truck Appointment System (TAS) is considered. Inspired by the work of Zehedner and Feillet 2013, we propose a multi-commodity network flow model for representing a maritime terminal. We solve ...
One common mobile robot design consists of three ‘omniwheels’ arranged at the vertices of an equilateral triangle, with wheel axles aligned with the rays from the center of the triangle to each wheel. Omniwheels, like standard wheels, are driven by the motors in a direction perpendicular to the wheel axle, but unlike standard wheels, can slip in a direction parallel to the axle. Unlike a steere...
Finite element method in pavement analysis is a type of mechanistic analysis that has widely been used by road and transportation engineers these days. This method is used with related programs such as ABAQUS/CAE which is one of the powerful software on this task. Modeling in this software has been developed from 2D static models to 3D dynamic models which are closer to reality due to the more ...
1 The traffic flow heterogeneity caused by the different car-following dynamics among the different types 2 of vehicles has drawn increasing attention recently. This paper explores the characteristics of the four 3 types of car-truck car-following combinations, car-following-car (CC), car-following-truck (CT), truck4 following-car (TC) and truck-following-truck (TT), and their impacts on traffi...
This work presents three multi-objective heuristic algorithms based on Two-phase Pareto Local Search with VNS (2PPLS-VNS), Multi-objective Variable Neighborhood Search (MOVNS) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). The algorithms were applied to the open-pit-mining operational planning problem with dynamic truck allocation (OPMOP). Approximations to Pareto sets generated by t...
INTRODUCTION Injuries and fatalities due to large truck and other vehicle crashes have decreased over the last decade, but motor vehicle injuries remain a leading cause of death for both the working and general populations. The present study was undertaken to determine semi truck driver and sleeper berth passenger injury risk in a moving semi truck collision using a matched-pair cohort study. ...
ID: 321 It is believed that increasing truck volumes contribute to traffic congestion, pavement deterioration and crashes due to differences in the physical and operational characteristics of trucks and passenger cars. A 2002 US DOT report showed that the number of crashes involving commercial trucks had increased by 40.3% over the last two decades. Based on Insurance Institute for Highway Safe...
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