A Quasi-Dynamic Traffic Assignment Method and Its Application In Route Guidance

2002 ◽  
Author(s):  
Senfa Chen ◽  
Chunrong Zhang ◽  
Yuquan Zhu
Keyword(s):  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Route Guidance ◽  
Dynamic Traffic ◽  
Assignment Method

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.

Routing Profile Updating Strategies for Online Hybrid Dynamic Traffic Assignment Operation

2003 ◽  
Vol 1857 (1) ◽  
pp. 39-47 ◽  
Author(s):  
Yi-Chang Chiu ◽  
Hani S. Mahmassani
Keyword(s):  
Real Time ◽  
System Performance ◽  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
A Priori ◽  
Traffic Network ◽  
Route Guidance ◽  
Dynamic Traffic ◽  
Simulation Experiments ◽  
Principal Mechanism

An online routing profile updating automaton (ORPUA) approach is introduced as a principal mechanism for operating an online hybrid dynamic traffic assignment (DTA) system for real-time route guidance in a traffic network. The hybrid DTA approach integrates the centralized and the decentralized DTA frameworks by partitioning the set of guided users into two classes according to an initial routing profile (IRP). One class receives the centralized DTA guidance, while the other follows the decentralized DTA routing. ORPUA takes the a priori IRP and updates the guidance supplied to vehicles in a real-time fashion according to the unfolding network conditions and relative performance of the two classes of users. It does not anticipate the future network conditions; instead, it reacts to them and optimizes the overall system performance by improving the performance of the underperforming class of vehicles. Simulation experiments illustrate ORPUA’s potential in maintaining desirable system performance and robustness in most of the demand-supply scenarios considered.

Dynamic Traffic Assignment: Genetic Algorithms Approach

1997 ◽  
Vol 1588 (1) ◽  
pp. 95-103 ◽  
Author(s):  
Adel W. Sadek ◽  
Brian L. Smith ◽  
Michael J. Demetsky
Keyword(s):  
Genetic Algorithms ◽  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Route Guidance ◽  
Dynamic Traffic ◽  
Artificial Intelligence Technique ◽  
Hampton Roads ◽  
Assignment Model ◽  
Software Packages ◽  
Guidance Strategies

Real-time route guidance is a promising approach to alleviating congestion on the nation’s highways. A dynamic traffic assignment model is central to the development of guidance strategies. The artificial intelligence technique of genetic algorithms (GAs) is used to solve a dynamic traffic assignment model developed for a real-world routing scenario in Hampton Roads, Virginia. The results of the GA approach are presented and discussed, and the performance of the GA program is compared with an example of commercially available nonlinear programming (NLP) software. Among the main conclusions is that GAs offer tangible advantages when used to solve the dynamic traffic assignment problem. First, GAs allow the relaxation of many of the assumptions that were needed to solve the problem analytically by traditional techniques. GAs can also handle larger problems than some of the commercially available NLP software packages.

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