scholarly journals A Travel Time Reliability Evaluation Method with a Stochastic Network Equilibrium Model

2008 ◽  
Vol 25 ◽  
pp. 807-814 ◽  
Author(s):  
Kazuki NAGAO ◽  
Shoichiro NAKAYAMA ◽  
Jun-ichi TAKAYAMA
Keyword(s):  
Travel Time ◽  
Equilibrium Model ◽  
Evaluation Method ◽  
Reliability Evaluation ◽  
Network Equilibrium ◽  
Stochastic Network ◽  
Travel Time Reliability

A STOCHASTIC NETWORK EQUILIBRIUM MODEL CONSIDERING TRAVEL TIME UNCERTAINTY

2004 ◽  
pp. 67-77 ◽  
Author(s):  
Shoichiro NAKAYAMA ◽  
Jun-ichi TAKAYAMA ◽  
Kazuki NAGAO ◽  
Takahiro KASASHIMA
Keyword(s):  
Travel Time ◽  
Equilibrium Model ◽  
Network Equilibrium ◽  
Stochastic Network ◽  
Time Uncertainty ◽  
Travel Time Uncertainty

scholarly journals A Two-Class Stochastic Network Equilibrium Model under Adverse Weather Conditions

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Chenming Jiang ◽  
Linjun Lu ◽  
Junliang He ◽  
Caimao Tan
Keyword(s):  
Travel Time ◽  
Equilibrium Model ◽  
Route Choice ◽  
Weather Condition ◽  
Weather Conditions ◽  
User Equilibrium ◽  
Network Equilibrium ◽  
Adverse Weather Conditions ◽  
Adverse Weather Condition ◽  
Adverse Weather

Adverse weather condition is one of the inducements that lead to supply uncertainty of an urban transportation system, while travelers’ multiple route choice criteria are the nonignorable reason resulting in demand uncertainty. This paper proposes a novel stochastic traffic network equilibrium model considering impacts of adverse weather conditions on roadway capacity and route choice criteria of two-class mixed roadway travellers on demand modes, in which the two-class route choice criteria root in travelers’ different network information levels (NILs). The actual route travel time (ARTT) and perceived route travel time (PRTT) are considered as the route choice criteria of travelers with perfect information (TPI) and travelers with bounded information (TBI) under adverse weather conditions, respectively. We then formulate the user equilibrium (UE) traffic assignment model in a variational inequality problem and propose a solution algorithm. Numerical examples including a small triangle network and the Sioux Falls network are presented to testify the validity of the model and to clarify the inner mechanism of the two-class UE model under adverse weather conditions. Managerial implications and applications are also proposed based on our findings to improve the operation efficiency of urban roadway network under adverse weather conditions.

Stochastic Traffic Assignment Model Based on Travel Time Reliability

2011 ◽  
Vol 130-134 ◽  
pp. 3716-3720
Author(s):  
Yi Ran Cheng ◽  
Yin Han ◽  
Xin Kai Jiang ◽  
Jia Lei Gu
Keyword(s):  
Travel Time ◽  
Equilibrium Model ◽  
Choice Behavior ◽  
Transportation Networks ◽  
Route Choice ◽  
User Equilibrium ◽  
Travel Time Reliability ◽  
Stochastic User Equilibrium ◽  
Model Based ◽  
Route Choice Behavior

Considering the un-deterministic transportation networks, the paper proposes the change of the route choice decisions under the stochastic transportation networks. The route choice behavior is described as a choice for a time shortest route which is subject to a time-reliability level. The paper also considered this new route choice behavior in the stochastic user equilibrium model, and proposed stochastic user equilibrium model based on the optimized reliability travel time route choice behavior in the stochastic networks. The equivalence and uniqueness of the solution of the model are demonstrated. Numerical results of a small network show that the proposed model can reflect the real traveler’s route choice behavior in stochastic transportation networks.

scholarly journals Evaluation Method of Travel Time Reliability Using Bus Probe Data

2006 ◽  
Vol 23 ◽  
pp. 1019-1028
Author(s):  
Nobuhiro UNO ◽  
Yusuke NAGAHIRO ◽  
Yasunori IIDA ◽  
Hiroshi TAMURA ◽  
Shinji NAKAGAWA
Keyword(s):  
Travel Time ◽  
Evaluation Method ◽  
Travel Time Reliability

scholarly journals Possibilistic Approach for Travel Time Reliability Evaluation

2020 ◽  
Vol 6 (1) ◽  
pp. 223-243
Author(s):  
Rajesh S. Prabhu Gaonkar ◽  
Akshay V. Nigalye ◽  
Sunay P. Pai
Keyword(s):  
Travel Time ◽  
Fuzzy Variable ◽  
Time Estimation ◽  
Reliability Evaluation ◽  
Travel Time Estimation ◽  
Travel Time Reliability ◽  
Reliability Estimates ◽  
Data Imprecision ◽  
Transportation Vehicle ◽  
Reliability Computation

Travel time estimation & reliability evaluation of any means of transportation in every type of travel mode- land, rail, sea and air has been of immense interest of the researchers; primarily due to growing economic concern in the field of logistics & passenger movement. In situations like quantitative data inaccessibility or data imprecision, fuzzy set based possibilistic approach is recognized as a practical choice in obtaining the reliability estimates. This paper proposes and advocates possibilistic approach for travel time reliability computation of any type transportation vehicle under fuzzy type of data. The proposed approach is a novel way of computing the travel time & obtaining the related reliability value. Initially, the paper proposes the general methodology for travel time reliability evaluation. Individual travel time components of a transportation vehicle are considered as fuzzy; as a result, travel time is modelled as a fuzzy variable. Travel time reliability of a transportation vehicle has been defined with the help of possibilistic measures. The proposed procedure is then demonstrated with an application to marine vessel carrying the bulk. After illustration of the proposed methodology, sensitivity analysis is carried out. The paper ends with the comments on comparative features of the three cases.

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