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Journal ArticleDOI

Dynamic user equilibrium with a path based cell transmission model for general traffic networks

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TLDR
In this paper, the authors developed a formulation for the network level dynamic traffic equilibrium model with departure time choice and route choice, where the embedded network loading procedure follows the cell transmission model without the holding-back issues by using detailed representations of flows at merges and diverges.
Abstract
This paper develops a formulation for the network level dynamic traffic equilibrium model with departure time choice and route choice. The embedded network loading procedure follows the cell transmission model without the holding-back issues by using detailed representations of flows at merges and diverges. The problem is modeled using a complementarity approach. The existence of the equilibrium solution is discussed using techniques from generalized variational inequalities. Computational results are performed using state of the art solvers. Since these solvers fail to solve any reasonable size networks, a specialized projection algorithm is developed to solve the problem. Numerical results are presented to demonstrate the performance of the algorithm in various starting with simple networks and extending to reasonable size networks with different traffic parameters. It is shown that the solution procedure produces good dynamic equilibrium solutions for general transportation networks.

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A linear programming formulation for autonomous intersection control within a dynamic traffic assignment and connected vehicle environment

TL;DR: In this paper, a linear programming formulation for autonomous intersection control (LPAIC) is proposed to account for traffic dynamics within a connected vehicle environment, where a lane based bi-level optimization model is introduced to propagate traffic flows in the network, accounting for dynamic departure time, dynamic route choice, and autonomous intersections control in the context of system optimum network model.
Journal ArticleDOI

Accounting for dynamic speed limit control in a stochastic traffic environment: a reinforcement learning approach

TL;DR: A link based dynamic network loading model is developed to simulate the traffic flow propagation allowing the change of speed limits and the optimal speed limit scheme is obtained by applying the R-Markov Average Reward Technique (R-MART) based reinforcement learning algorithm.
Journal ArticleDOI

Formulation, existence, and computation of boundedly rational dynamic user equilibrium with fixed or endogenous user tolerance

TL;DR: In this paper, a unified approach for modeling both BR-DUE and variable tolerance dynamic user equilibrium is presented, which makes significant contributions to the model formulation, analysis of existence, solution characterization, and numerical computation of such problems.
Journal ArticleDOI

Resilience Enhancement Strategies for Power Distribution Network Coupled With Urban Transportation System

TL;DR: This paper studies the resilience enhancement strategy by line hardening and DG placement when outages occur in distribution lines and traffic lights in the coupled power distribution system and urban transportation system (PDS-UTS).
Journal ArticleDOI

Interdependence between transportation system and power distribution system: a comprehensive review on models and applications

TL;DR: A comprehensive survey on the interdependence between transportation system and power distribution system is conducted, especially the user equilibrium model, which describes the vehicular flow on each road segment and is not familiar to the readers in power system community.
References
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Book

Finite-Dimensional Variational Inequalities and Complementarity Problems

TL;DR: Newton Methods for Nonsmooth Equations as mentioned in this paper and global methods for nonsmooth equations were used to solve the Complementarity problem in the context of non-complementarity problems.
Journal ArticleDOI

The cell transmission model: a dynamic representation of highway traffic consistent with the hydrodynamic theory

TL;DR: In this paper, a simple representation of traffic on a highway with a single entrance and exit is presented, which can be used to predict traffic's evolution over time and space, including transient phenomena such as the building, propagation, and dissipation of queues.
Posted Content

Congestion Theory and Transport Investment

TL;DR: In this paper, the authors discuss the investment designed to relieve congestion and distinguish six types of congested situations, which are: simple interaction, multiple interaction, bottleneck, triggerneck, network and control, and general density.
Journal ArticleDOI

The cell transmission model, part ii: network traffic

TL;DR: This article shows how the evolution of multi-commodity traffic flows over complex networks can be predicted over time, based on a simple macroscopic computer representation of traffic flow that is consistent with the kinematic wave theory under all traffic conditions.
Posted Content

A Structural Model of Peak-Period Congestion: A Traffic Bottleneck with Elastic Demand

TL;DR: In this paper, the authors consider the modeling of road congestion subject to peak-load demand and provide a detailed analysis of a particular structural model -William Vickrey's model of bottleneck congestion in the morning rush-hour auto commute, extended to treat elastic (i.e., price sensitive) demand.
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