01515640

Component

https://doi.org/10.3141/2410-10

http://scholar.google.com...sani&publication_year=2014

This paper addresses freight management in large, congested urban settings. Congestion creates a substantial variation in travel time (speeds) during morning peak and evening peak periods. Besides the day-to-day dynamics of traffic conditions, traffic incidents contribute significantly to urban congestion, resulting in unplanned travel delays. Urban route designs that ignore such significant variations are often found to be inefficient or even infeasible (in regard to delivery or pickup time windows) in a congested traffic environment. This limitation may lead to delays, higher operational costs, and inferior customer service. To take the dynamics of traffic conditions into account, the proposed modeling framework includes an underlying dynamic network traffic simulation-assignment model that is able to compute time-dependent shortest paths (TDSPs) and simulate individual vehicles on a realistic representation of urban road network elements, including signalization, ramp metering, and other operational controls. A two-phase set-partitioning–based heuristic approach is proposed to construct freight vehicle routes. No parameter tuning is required. The integrated modeling framework was first tested on a small network, and then the application was demonstrated on a real-world urban network, the Chicago, Illinois, area network, with problem instances of up to 500 customers with TDSPs updated at 10-min intervals.

01537717

14-1463

English

pp 85–95

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295017

Print

Figures (3) ; Maps; References (38) ; Tables (5)

Freight traffic; Logistics; Peak periods; Traffic assignment; Traffic congestion; Traffic incidents; Travel time; Urban goods movement

Chicago (Illinois)

Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 27 2014 2:33PM

• Analysis of Competitiveness of Freight Tricycle Delivery Services in Urban Areas
• Critical Rural Freight Corridors Designation: Implications of Truck Percentage Calculation
• Current State of Estimation of Multimodal Freight Project Impacts
• Framework for Characterizing Truck Traffic Related to Petroleum Well Development and Production in Unconventional Shale Plays
• Generating Reliable Freight Performance Measures with Truck GPS Data: Case Study in Twin Cities Metropolitan Area, Minnesota
• GPS and Driver Log–Based Survey of Grocery Trucks in Chicago, Illinois
• Impact of Introducing Longer and Heavier Vehicles on Regional Consumer Price Index and Spanish Road Freight Transport System
• Impacts of Extended Interstate Closures on Regional Freight Logistics: Case Study of the 2011 Interstate 29 Closure
• Intermodal Transportation Disruption and Reroute Simulation Framework: Lesson for Freight Planning
• Logistics Sprawl: Differential Warehousing Development Patterns in Los Angeles, California, and Seattle, Washington
• Modeling Courier Vehicles’ Travel Behavior: Case of Seoul, South Korea
• Optimal Automobile Distribution Model in Multimodal Freight Transportation Networks
• Predictive Analytics to Improve Pricing and Sourcing in Third-Party Logistics Operations
• Receding Horizon Approach for Container Flow Assignment in Intermodal Freight Transport
• Shipping Chain Choices in Long-Distance Supply Chains: Descriptive Analysis and Decision Tree Model
• Transportation Network Vulnerability: Vulnerability Scanning Methodology Applied to Multiple Logistics Transport Networks