The Price of Anarchy of Non-Uniform Altruism Traffic Assignment

2011 ◽  
Vol 467-469 ◽  
pp. 475-480 ◽  
Author(s):  
Xiao Jun Yu
Keyword(s):  
Variational Inequality ◽  
Linear Combination ◽  
Choice Behavior ◽  
Traffic Assignment ◽  
Price Of Anarchy ◽  
Transportation Network ◽  
Route Choice ◽  
Route Choice Behavior ◽  
Special Cases

In this paper, assumed the users are partially altruistic，the altruism level of different user class has difference. The user’s perceived cost assumed to be a linear combination of selfish component and altruistic component. A variational inequality (VI) model is investigated to formulate the user’s route choice behavior in non-uniform altruism transportation network with fixed demand. The price of anarchy caused by this kind of behavior is analytically derived and this result takes some known results in the literature as its special cases.

scholarly journals Efficiency Loss of Mixed Equilibrium Associated with Altruistic Users and Logit-based Stochastic Users in Transportation Network

2014 ◽  
Vol 26 (1) ◽  
pp. 45-51 ◽  
Author(s):  
Xiao-Jun Yu ◽  
Chun-Hua Fang
Keyword(s):  
Variational Inequality ◽  
Linear Combination ◽  
Transportation Network ◽  
Route Choice ◽  
Efficiency Loss ◽  
Numerical Tests ◽  
Network Parameters ◽  
Special Cases ◽  
Mixed Equilibrium ◽  
Second Category

The efficiency loss of mixed equilibrium associated with two categories of users is investigated in this paper. The first category of users are altruistic users (AU) who have the same altruism coefficient and try to minimize their own perceived cost that assumed to be a linear combination of selfish com­ponent and altruistic component. The second category of us­ers are Logit-based stochastic users (LSU) who choose the route according to the Logit-based stochastic user equilib­rium (SUE) principle. The variational inequality (VI) model is used to formulate the mixed route choice behaviours associ­ated with AU and LSU. The efficiency loss caused by the two categories of users is analytically derived and the relations to some network parameters are discussed. The numerical tests validate our analytical results. Our result takes the re­sults in the existing literature as its special cases.

scholarly journals Dynamics of a Transportation Network Model with Homogeneous and Heterogeneous Users

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Yingguo Li ◽  
Zhijia Tan ◽  
Qiong Chen
Keyword(s):  
General Framework ◽  
Choice Behavior ◽  
Transportation Network ◽  
Route Choice ◽  
Evolutionary Games ◽  
Travel Cost ◽  
Flow Dynamics ◽  
Adjustment Process ◽  
Elastic Demand ◽  
Route Choice Behavior

This paper studies the dynamics of the traveler's day-to-day route adjustment process in the general transportation network with fixed or elastic demand and homogeneous or heterogeneous users. Each traveler is assumed to adjust his/her route choice according to the excess travel cost between the instantaneous experienced travel cost and a certain referred level, which induces an aggregate path flow dynamics. We call the path flow dynamics the excess travel cost dynamics, which corresponds to the excess payoff dynamics in evolutionary games and serves a general framework of modeling the homogeneous or heterogeneous route choice behavior of travelers.

AN ANALYSIS OF TRUCKS' ROUTE CHOICE BEHAVIOR CONSIDERING VEHICLE TYPE AND TRIP LENGTH

2018 ◽  
Vol 74 (5) ◽  
pp. I_657-I_666
Author(s):  
Hideki OKA ◽  
Makoto CHIKARAISHI ◽  
Jun TANABE ◽  
Daisuke FUKUDA ◽  
Takashi OGUCHI
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Trip Length ◽  
Vehicle Type ◽  
Route Choice Behavior

scholarly journals Design of an artificial simulator for analyzing route choice behavior in the presence of information system

1995 ◽  
Vol 22 (4-7) ◽  
pp. 119-147 ◽  
Author(s):  
P.D.V.G. Reddy ◽  
H. Yang ◽  
K.M. Vaughn ◽  
M.A. Abdel-Aty ◽  
R. Kitamura ◽  
...  
Keyword(s):  
Information System ◽  
Choice Behavior ◽  
Route Choice ◽  
Route Choice Behavior
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