This paper develops a simulation-based optimization (SBO) framework for addressing urban congestion pricing problems considering travelers’ departure time rescheduling, and demonstrates the framework using a large-scale simulation-based dynamic traffic assignment (SBDTA) model of Melbourne, Australia. The pricing regime considered is a distance toll linearly proportional to the total distance traveled within the pricing zone (PZ). To optimize the toll rates such that the network fundamental diagram (NFD) of the PZ does not enter the congestion regime, we employ the discrete proportional-integral (PI) controller and further incorporate the scheduling cost for adjusting travelers’ departure times, with the objective of minimizing their generalized travel costs. A comparison among three scenarios is performed: non-pricing and pricing with and without departure time rescheduling. Results clearly show the benefits of pricing on the network performance as well as the significance of adjusting travelers’ departure times.
A Simulation-Based Optimization Framework for Urban Congestion Pricing Considering Travelers’ Departure Time Rescheduling
2019-10-01
678196 byte
Conference paper
Electronic Resource
English
Travelers' Response to Value Pricing: Application of Departure Time Choices to TRANSIMS
British Library Online Contents | 2010
|Analysis of Time Allocation, Departure Time, and Route Choice Behavior Under Congestion Pricing
Online Contents | 2000
|Optimizing Transit Network Departure Frequency considering Congestion Effects
DOAJ | 2024
|Analysis of Time Allocation, Departure Time, and Route Choice Behavior Under Congestion Pricing
British Library Conference Proceedings | 2000
|Analysis of Time Allocation, Departure Time, and Route Choice Behavior Under Congestion Pricing
Transportation Research Record | 2000
|