详情

Modeling Multi-class Truck Traffic Assignment Method with Different Traffic Restraint Constraints

项目名称：	Modeling Multi-class Truck Traffic Assignment Method with Different Traffic Restraint Constraints
摘要：	Traffic assignment is an essential and fundamental step in the transportation planning and management processes (Sheffi, 1985; Patriksson, 1994; Bell and Iida, 1997). Given constant travel demands between each origin-destination (O-D) pair (i.e., travelers), and travel cost functions for each link of the network (i.e., transportation network), the traffic assignment problem is to determine the traffic flow pattern as well as network performance measures (e.g., total system travel time, vehicle miles of travel, vehicle hours of travel, fuel consumption and emission, etc.). In practice, most traffic assignment models are single user class and make a number of modeling assumptions including: separability assumption on the link travel time function (i.e., no interactions), deterministic user equilibrium (DUE) or stochastic user equilibrium (SUE) without accounting for route overlapping, and no side constraints to describe the limited supply of certain scarce resources (e.g., link capacities) in a network which are shared by multiple vehicle types (e.g., passenger cars and multiple truck types) or to limit certain classes of vehicles (e.g., trucks) on underpasses due to height restriction, bridges due to weight restriction, and prohibited lanes due to lane restriction. However, as truck traffic continues to grow as a result of increasing freight shipments transported by trucks, there is an increasing interest to model multiple vehicle classes separately, especially in addressing the impacts of truck traffic on congestion, infrastructure deterioration, safety, and environmental concerns in many urban cities. According to the Bureau of Transportation Statistics (BTS), freight shipments transported by trucks account for 71 percent by value in U.S. dollars and 76 percent by weight in tons of all commodity shipments (BTS, 2014). Hence, the purpose of this proposal is to develop advanced traffic assignment method and computation algorithm for addressing the asymmetric vehicle interactions, route overlapping, and traffic restraints in multi-class traffic assignment problems involving multiple types of trucks.
状态：	Active
资金：	160000
资助组织：	Research and Innovative Technology Administration
管理组织：	Mountain-Plains Consortium
项目负责人：	Kline, Robin
执行机构：	Civil & Environmental Engineering Department
主要研究人员：	Song, Ziqi
开始时间：	20150609
预计完成日期：	20190930
实际结束时间：	0