scholarly journals Analysis on the Stated Preference of Route Choice Behavior under the Travel Time Information

2003 ◽  
Vol 34 (1) ◽  
pp. 411-427
Author(s):  
Yasuyuki NAKAHIRA ◽  
Yasuhiro HIROBATA
Keyword(s):  
Travel Time ◽  
Choice Behavior ◽  
Stated Preference ◽  
Route Choice ◽  
Route Choice Behavior ◽  
Time Information

scholarly journals Empirical Study of Effect of Dynamic Travel Time Information on Driver Route Choice Behavior

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3257 ◽  
Author(s):  
Jinghui Wang ◽  
Hesham Rakha
Keyword(s):  
Travel Time ◽  
Choice Behavior ◽  
Route Choice ◽  
Time Variability ◽  
Route Choice Behavior ◽  
Increase Risk ◽  
The Difference ◽  
Alternative Routes ◽  
Time Information ◽  
Travel Time Variability

The objective of this paper is to study the effect of travel time information on day-to-day driver route choice behavior. A real-world experimental study is designed to have participants repeatedly choose between two alternative routes for five origin-destination pairs over multiple days after providing them with dynamically updated travel time information (average travel time and travel time variability). The results demonstrate that historical travel time information enhances behavioral rationality by 10% on average and reduces inertial tendencies to increase risk seeking in the gain domain. Furthermore, expected travel time information is demonstrated to be more effective than travel time variability information in enhancing rational behavior when drivers have limited experiences. After drivers gain sufficient knowledge of routes, however, the difference in behavior associated with the two information types becomes insignificant. The results also demonstrate that, when drivers lack experience, the faster less reliable route is more attractive than the slower more reliable route. However, with cumulative experiences, drivers become more willing to take the more reliable route given that they are reluctant to become risk seekers once experience is gained. Furthermore, the effect of information on driver behavior differs significantly by participant and trip, which is, to a large extent, dependent on personal traits and trip characteristics.

Comprehending the roles of traveler perception of travel time reliability on route choice behavior

2019 ◽  
Vol 16 ◽  
pp. 13-22 ◽  
Author(s):  
Zohreh Rashidi Moghaddam ◽  
Mansoureh Jeihani ◽  
Srinivas Peeta ◽  
Snehanshu Banerjee
Keyword(s):  
Travel Time ◽  
Choice Behavior ◽  
Route Choice ◽  
Travel Time Reliability ◽  
Route Choice Behavior

Travelers' Day-to-Day Route Choice Behavior with Real-Time Information in a Congested Risky Network

2014 ◽  
Vol 21 (4) ◽  
pp. 205-219 ◽  
Author(s):  
XUAN LU ◽  
SONG GAO ◽  
ERAN BEN-ELIA ◽  
RYAN POTHERING
Keyword(s):  
Real Time ◽  
Choice Behavior ◽  
Route Choice ◽  
Route Choice Behavior ◽  
Real Time Information ◽  
Time Information

Rail Transit Travel Time Reliability and Estimation of Passenger Route Choice Behavior

2012 ◽  
Vol 2275 (1) ◽  
pp. 58-67 ◽  
Author(s):  
Yanshuo Sun ◽  
Ruihua Xu
Keyword(s):  
Travel Time ◽  
Choice Behavior ◽  
Route Choice ◽  
Service Reliability ◽  
Travel Time Reliability ◽  
Elapsed Time ◽  
Route Choice Behavior ◽  
Collection Data ◽  
Passenger Flow Assignment ◽  
Transfer Stations

Applications of automatic fare collection data were investigated, with a focus on analysis of travel time reliability and estimation of passenger route choice behavior. Beijing Metro was used as a case study. A rail journey was decomposed, and each component was studied with regard to the uncertainties involved. Methods were then designed and validated to infer platform elapsed time (PET) for through stations and platform elapsed time–transfer (PET-Trans) for transfer stations by using smart card transactional data, train schedules, and complementary manual surveys. With this information, the journey time distribution of any path can be established, and methods were proposed for inferring route choice proportions. After data preparation, the methods were applied to two typical origins and destinations from the Beijing Metro. Key values concerning travel time reliability, such as PET, PET-Trans, travelers left behind (unable to board), and path coefficients, were obtained and interpreted in detail. The outcome of this research could facilitate analysis of transit service reliability and passenger flow assignment in daily operations.

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.

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