Impacts of variable message signs on en-route route choice behavior

2020 ◽  
Vol 139 ◽  
pp. 335-349
Author(s):  
Wenjing Zhao ◽  
Zhuanglin Ma ◽  
Kui Yang ◽  
Helai Huang ◽  
Fredrik Monsuur ◽  
...  
2014 ◽  
Vol 587-589 ◽  
pp. 2003-2006
Author(s):  
Xi Jun Ou Yang ◽  
Xi Zhang ◽  
Hang Wang

Based on SP survey, this study researched on the driver's personal property, travel attribute and VMS (Variable Message Signs) attribute. On this basis, combining with the traffic survey data, the multinomial Logit models were used to reflect the route choice behavior. The data were analyzed by Matlab software, then to compare the effect of VMS under different traffic conditions, and proved the rationality of the model. The results of SP survey show that the main factors that affect drivers' route choice are familiarity of road network, accuracy of VMS and attention to VMS. The calculations of Multinomial Logit model demonstrate that the effect of VMS is more obvious during peak period, and it’s more effective under traffic accident conditions. Combining qualitative and quantitative analysis, it provides suggestions for the widely application of the VMS in Changsha city.


Author(s):  
Hideki OKA ◽  
Makoto CHIKARAISHI ◽  
Jun TANABE ◽  
Daisuke FUKUDA ◽  
Takashi OGUCHI

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 ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Zhenyu Mei ◽  
Ye Tian ◽  
Dongping Li

Operators of parking guidance and information systems (PGIS) often encounter difficulty in determining when and how to provide reliable car park availability information to drivers. Reliability has become a key factor to ensure the benefits of urban PGIS. The present paper is the first to define the guiding parking reliability of urban parking variable message signs (VMSs). By analyzing the parking choice under guiding and optional parking lots, a guiding parking reliability model was constructed. A mathematical program was formulated to determine the guiding parking reliability of VMS. The procedures were applied to a numerical example, and the factors that affect guiding reliability were analyzed. The quantitative changes of the parking berths and the display conditions of VMS were found to be the most important factors influencing guiding reliability. The parking guiding VMS achieved the best benefit when the parking supply was close to or was less than the demand. The combination of a guiding parking reliability model and parking choice behavior offers potential for PGIS operators to reduce traffic congestion in central city areas.


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