Open AccessAlternate Interchange Signing Study for Indiana Highways
Author(s) -
Stanley Chen,
Yaobin Chen,
Renran Tian,
Lingxi Li,
Donglin Liu,
Jiang Zhou,
Dan Shen
Publication year - 2022
Language(s) - English
Resource type - Reports
DOI - 10.5703/1288284317439
Subject(s) - sign (mathematics) , perspective (graphical) , transport engineering , information overload , computer science , work (physics) , newspaper , social media , computer security , business , engineering , advertising , world wide web , mechanical engineering , mathematical analysis , mathematics , artificial intelligence
The main objectives of this research were to (1) understand signing issues from the perspective of drivers and (2) develop recommendations for improving interchange signing in Indiana to aid driver understanding and increase the safety and efficiency of highway traffic operations. An online survey with specific questions was designed and distributed through email, social media, online newspapers, and a survey company with the goal of better understanding driver thinking when approaching decision-making areas on the interstate. The analysis of the survey results revealed the following. •Drivers usually do not know the interchange types as they approach an interchange on the freeway. •Drivers are most interested in which lanes they should be in when approaching an interchange, even in advance of typical signing locations. •Drivers do not like signs that require cognitive work since it will delay their driving decision by creating uncertainty. •Different drivers need different types of information from signs, such as cardinal direction, destination name, road name, and lane assignments. Therefore, a perfect sign for one driver may be confusing or information overload for another driver. •In some instances, a driver who is familiar with the area is confused by the signs because the sign information contradicts the driver’s knowledge.