scholarly journals A Distributed Assignment Method for Dynamic Traffic Assignment Using Heterogeneous-Adviser Based Multi-Agent Reinforcement Learning

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 154237-154255
Author(s):  
Zhaotian Pan ◽  
Zhaowei Qu ◽  
Yongheng Chen ◽  
Haitao Li ◽  
Xin Wang
Keyword(s):  
Reinforcement Learning ◽  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Dynamic Traffic ◽  
Assignment Method ◽  
Multi Agent

scholarly journals A Dynamic Traffic Assignment Method Based on Connected Transportation System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 65679-65692 ◽  
Author(s):  
Li Zhang ◽  
Jiaming Liu ◽  
Bin Yu ◽  
Gang Chen
Keyword(s):  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Transportation System ◽  
Dynamic Traffic ◽  
Assignment Method

scholarly journals Distributed Dynamic Traffic Modeling and Implementation Oriented Different Levels of Induced Travelers

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Yan Liu ◽  
Yao Yu
Keyword(s):  
Traffic Management ◽  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Distributed Model ◽  
Traffic Network ◽  
Dynamic Traffic ◽  
Assignment Method ◽  
Proposed Model ◽  
Network Operation ◽  
Different Levels

In order to respond to the variable state of traffic network in time, a distributed dynamic traffic assignment strategy is proposed which can improve the intelligent traffic management. The proposed dynamic assignment method is based on utility theory and is oriented to different levels of induced users. A distributed model based on the marginal utility is developed which combines the advantages of both decentralized paradigm and traveler preference, so as to provide efficient and robust dynamic traffic assignment solutions under uncertain network conditions. Then, the solution algorithm including subroute update and subroute calculation is proposed. To testify the effectiveness of the proposed model in optimizing traffic network operation and minimizing traveler’s cost on different induced levels, a sequence numerical experiment is conducted. In the experiment, there are two test environments: one is in different network load conditions and the other is in different deployment coverage of local agents. The numerical results show that the proposed model not only can improve the running efficiency of road network but also can significantly decrease the average travel time.

Modeling User Equilibrium in Microscopic Transportation Simulation

2013 ◽  
Author(s):  
Liang-Chieh (Victor) Cheng ◽  
Heng Wang
Keyword(s):  
Equilibrium State ◽  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
User Equilibrium ◽  
Microscopic Model ◽  
Dynamic Traffic ◽  
Dynamic User Equilibrium ◽  
Equilibrium Study ◽  
Assignment Method ◽  
Transportation Simulation

User equilibrium refers to the network-wide state where individual travelers cannot gain improvement by unilaterally changing their behaviors. The Wardropian Equilibrium has been the focus of a transportation equilibrium study. This paper modifies the dynamic traffic assignment method through utilizing the TRANSIMS system to reach the dynamic user equilibrium state in a microscopic model. The focus of research is developing three heuristics in a Routing-Microsimulation-Equilibrating order for reaching system-wide equilibrium while simultaneously minimizing the computing burden and execution. The heuristics are implemented to a TRANSIMS model to simulate a subarea of Houston, TX.

scholarly journals A Strategic Model for Dynamic Traffic Assignment

2004 ◽  
Vol 4 (3) ◽  
pp. 291-315 ◽  
Author(s):  
Younes Hamdouch ◽  
Patrice Marcotte ◽  
Sang Nguyen
Keyword(s):  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Dynamic Traffic ◽  
Strategic Model
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