The research on drivers' route choice behavior in the presence of dynamic traffic information

2006 ◽  
Author(s):  
Yuanfeng Zhou ◽  
Jianping Wu
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Traffic Information ◽  
Dynamic Traffic ◽  
Route Choice Behavior

The Impact of Traffic Information on Drivers’ Day-to-Day Route Choice Behavior

2011 ◽  
Vol 97-98 ◽  
pp. 925-930
Author(s):  
Shi Xu Liu ◽  
Hong Zhi Guan
Keyword(s):  
Travel Time ◽  
Road Network ◽  
Choice Behavior ◽  
Choice Model ◽  
Route Choice ◽  
User Equilibrium ◽  
Statistical Characteristics ◽  
Traffic Information ◽  
Route Choice Behavior ◽  
The Impact

The influence of different traffic information on drivers’ day-to-day route choice behavior based on microscopic simulation is investigated. Firstly, it is assumed that drivers select routes in terms of drivers’ perceived travel time on routes. Consequently, the route choice model is developed. Then, updating the drivers’ perceived travel time on routes is modeled in three kinds of traffic information conditions respectively, which no information, releasing historical information and releasing predictive information. Finally, by setting a simple road network with two parallel paths, the drivers’ day-to-day route choice is simulated. The statistical characteristics of drivers’ behavior are computed. Considering user equilibrium as a yardstick, the effects of three kinds of traffic information are compared. The results show that the impacts of traffic information on drivers are related to the random level of driver’s route choice and reliance on the information. In addition, the road network cannot reach user equilibrium in three kinds of information. This research results can provide a useful reference for the application of traffic information system.

scholarly journals A Study of Driver’s Route Choice Behavior Based on Evolutionary Game Theory

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Xiaowei Jiang ◽  
Yanjie Ji ◽  
Muqing Du ◽  
Wei Deng
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Evolutionary Game Theory ◽  
Choice Behavior ◽  
Evolutionary Game ◽  
Route Choice ◽  
Cumulative Prospect Theory ◽  
Traffic Information ◽  
Analytic Method ◽  
Route Choice Behavior

This paper proposes a route choice analytic method that embeds cumulative prospect theory in evolutionary game theory to analyze how the drivers adjust their route choice behaviors under the influence of the traffic information. A simulated network with two alternative routes and one variable message sign is built to illustrate the analytic method. We assume that the drivers in the transportation system are bounded rational, and the traffic information they receive is incomplete. An evolutionary game model is constructed to describe the evolutionary process of the drivers’ route choice decision-making behaviors. Here we conclude that the traffic information plays an important role in the route choice behavior. The driver’s route decision-making process develops towards different evolutionary stable states in accordance with different transportation situations. The analysis results also demonstrate that employing cumulative prospect theory and evolutionary game theory to study the driver’s route choice behavior is effective. This analytic method provides an academic support and suggestion for the traffic guidance system, and may optimize the travel efficiency to a certain extent.

scholarly journals Experimental Study of Day-to-Day Route-Choice Behavior: Evaluating the Effect of ATIS Market Penetration

2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Shixu Liu ◽  
Lidan Guo ◽  
Said M. Easa ◽  
Hao Yan ◽  
Heng Wei ◽  
...  
Keyword(s):  
Travel Time ◽  
Road Network ◽  
Choice Behavior ◽  
Route Choice ◽  
User Equilibrium ◽  
Traffic Information ◽  
Market Penetration ◽  
Network Information ◽  
Route Choice Behavior ◽  
Average Travel Time

This paper examines the travelers’ day-to-day route-choice behavior with Advanced Traveler Information Systems (ATIS) through laboratory-like experimental method. Five groups of route-choice behavior experiments are designed to simulate actual daily behavior of travelers. In the experiment, subjects are provided with different levels of the complete road network information to simulate the proportion of subjects equipped with ATIS equipment (i.e., ATIS market penetration) and choose the routes repeatedly. The subject’s route-choice behavior under different proportions of complete road network information is analyzed, and the strategy of releasing such complete information is determined when the performance of road network system is the best. The Braess network which consists of three routes was used in the experiment and analysis. The results show that the fluctuation of traffic flow runs through the entire experiments, but it tends to converge to user equilibrium. When the market penetration is 75%, both the fluctuation of traffic flow and the tendency of subjects to change routes are the smallest, so the road network system is the most stable. This interesting result indicates that releasing traffic information to all travelers is not the best. Other results show that the travel times of the three routes in the five groups of experiments tend to converge to and finally fluctuate around user-equilibrium travel time. With the increase in ATIS market penetration, the average travel time of subjects in each round tends to increase. The overall trend of the five groups of experiments is that as the number of route switches increases, the average travel time increases. The results also indicate that releasing traffic information to all travelers cannot weaken the Braess Paradox. On the contrary, the more travelers are provided with traffic information, the less likely it will weaken the Braess Paradox.

Time Pressure Impact on En-Route Choice Behavior under Guidance Information

2014 ◽  
Vol 614 ◽  
pp. 539-542
Author(s):  
Feng Gao
Keyword(s):  
Choice Behavior ◽  
Time Pressure ◽  
Route Choice ◽  
Traffic Information ◽  
Preference Reversals ◽  
Route Choice Behavior ◽  
Pressure Impact ◽  
The Impact ◽  
Guidance Information ◽  
Choice Probabilities

This paper investigates time pressure impact on en-route choice behavior under guidance information. The impact of time pressure constraints is quite evident in en-route choice decisions. Understanding en-route choice behavior under time pressure and predicting route choices are important components in the overall goal of building a more reliable and efficient advanced traffic information systems (ATIS). A hybrid model to predict en-route driver routing decisions under guidance information is proposed. The model accounts for the observed changes in choice probabilities, including preference reversals as a function of time limit.

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