Tracking the Impact of a Toll Increase on Managed Lane Travel Behavior

Burris, Mark; Ashraf, Sruthi

doi:10.1177/0361198119827574

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…Note that this change assumes all travelers make economically rational decisions based on their VTT. It has been shown that most travelers do not (27,47) and that many travelers feel they save more travel time on MLs than is the case (45). Therefore, the assumption of economically rational decision making is likely inaccurate and revenue loss is probably not as high as 17.4%.…”

Section: Resultsmentioning

confidence: 99%

“…The ML system studied in this paper is Katy Freeway between SH 6 and west I-610 in Houston, Texas. Many researchers (2,10,(26)(27)(28) have conducted surveys and studies on drivers in the area and constructed VTT distributions based on income groups and trip situations (i.e., urgency of the trip). The following fixed percentages of income groups are assumed based on a mix of traveler survey and census data from Houston (10).…”

Section: Value Of Travel Time Distributionsmentioning

confidence: 99%

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Performance Analyses of Information-Based Managed Lane Choice Decisions in a Connected Vehicle Environment

Guo

Yong-xin

Ashraf

et al. 2020

Transportation Research Record: Journal of the Transportation R

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Connected vehicle (CV) technology can connect, communicate, and share information between vehicles, infrastructure, and other traffic management systems. Recent research has examined and promoted CV and connected automated vehicle (CAV) technology on managed lane systems to increase capacity and reduce congestion, as managed lane systems could be equipped with advanced infrastructure relatively quickly. However, the effect on travel considering, information-based managed lane choice decisions in a CV environment is not clear. Therefore, this research analyzed the potential effects on a managed lane system with connected vehicles considering several travel behavior elements, including drivers’ willingness to reroute and their choice of managed lanes based on individual travel time savings. This study analyzed the potential effects on a managed lane system by assigning different market penetration rates (0%, 10%, 50%, 100%) of CVs and informing CV drivers about travel time savings for a 10-mi stretch at 5-min intervals. How the traffic performance measurements (i.e., throughput, travel time saving, average speed and average travel time) vary under different market penetration rates of CVs is then investigated. Two major conclusions are reached: (i) although information exchange was assumed to be instantaneous between vehicles and the system, there existed a response time (or time delay) in the macroscopic traffic reflection; (ii) managed lane use may decrease, when travel time information becomes available, since drivers perceive they are saving more travel time than they actually do save.

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Section: Resultsmentioning

confidence: 99%

Section: Value Of Travel Time Distributionsmentioning

confidence: 99%

Performance Analyses of Information-Based Managed Lane Choice Decisions in a Connected Vehicle Environment

Guo

Yong-xin

Ashraf

et al. 2020

Transportation Research Record: Journal of the Transportation R

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show abstract

“…Both field (Burris & Ashraf, 2019;Burris & Brady, 2018) and experimental analysis (Selten et al, 2004(Selten et al, , 2007 of coordination behavior in traffic studies reveal patterns of behavior that are not consistent with agents responding to changes in parameters in ways that will lead to systems equilibrating. Both suggest that informational interventions may increase payoffs for drivers and system equilibration.…”

Section: Discussionmentioning

confidence: 99%

Aggregate and individual effects of information in a coordination (traffic) game

et al. 2023

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Using an existing coordination (traffic) experiment, we investigate information's effect on traffic congestion when subjects already have a history of past play. In contrast to previous studies, our interventions neither alter aggregate nor individual payoffs. A second study isolates individual‐subject response to information using a fixed distribution of past subjects. We find information alters subject play: subjects switch roads more often and receive higher payoffs conditional on switching roads. Because switching reduces payoffs unconditionally, information does not generally improve payoffs overall. Only subjects that receive information upon starting the game appear to increase their payoffs due to the information treatment.

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“…Among the remaining 15% of travelers who made an active decision of choosing between the lanes, many made counterintuitive choices based on their travel time savings and toll rate ( 1 ). The observed commuter choice does not fit standardized rational-choice models in the above context and new methods are required to address this fundamental problem—the assumption that all travelers are choosing between MLs and GPLs ( 1 , 2 ).…”

mentioning

confidence: 99%

Using Behavioral Economics to Identify Potential Managed Lane Users

Ashraf

Burris

Brown

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Priced managed lanes (MLs) offer travelers an option to choose to pay a toll to travel on the MLs for a generally faster, more reliable travel than on the adjacent, toll-free general-purpose lanes (GPLs). Recent research has shown that many travelers on freeways with MLs choose the same lane type every trip regardless of travel time savings and toll rate. In this paper, a classic experimental economics traffic game was replicated and re-examined to model traveler choice by classifying travelers as “choosers” (people who frequently choose between MLs and GPLs) and “non-choosers” (people who use only one type of lane). This traffic experiment was then augmented with a travel survey to find the individual differences (psychological traits), trip-related variables, and socio-demographic variables that help differentiate travelers into the above two categories. Based on the traffic experiment and travel survey, it was found that: (1) the experiment could identify real life choosers and (2) many more travelers indicate that they are choosers in a survey than in actual travel. Features that are related to the choosing behavior were the time taken by the subject to answer a survey section and time used to verify their answers before submitting. Participants who spent more time on those things tended to be choosers. Travelers who were direct responders in the experiment tended to be choosers. Other factors that differentiated choosers from non-choosers were trip duration, familiarity with the ML facilities, and education level.

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Tracking the Impact of a Toll Increase on Managed Lane Travel Behavior

Cited by 4 publications

References 9 publications

Performance Analyses of Information-Based Managed Lane Choice Decisions in a Connected Vehicle Environment

Performance Analyses of Information-Based Managed Lane Choice Decisions in a Connected Vehicle Environment

Aggregate and individual effects of information in a coordination (traffic) game

Using Behavioral Economics to Identify Potential Managed Lane Users

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