On-Time Reliability Impacts of Advanced Traveler Information Services (ATIS): Washington, DC Case Study

Wunderlich, Karl; Hardy, Matthew; Larkin, James; Shah, Vaishali

doi:10.1037/e546862009-001

Cited by 14 publications

(8 citation statements)

References 2 publications

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“…One application in this area has found that the largest benefit to users of advanced traveler information systems (ATIS) in urban areas is improved on-time reliability. Using Mitretek Systems' heuristic online web-linked arrival time estimation (HOWLATE) method, a 3-month study concluded that ATIS users realize time savings not from reductions of in-vehicle travel times but by budgeting less time for travel and still arriving on time and arriving early and late less frequently (7).…”

Section: State Of the Practice In Congestion Measurementmentioning

confidence: 99%

Measuring Congestion: Learning from Operational Data

Bremmer

Cotton

Cotey

et al. 2004

Transportation Research Record: Journal of the Transportation R

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As transportation agencies develop operations-based approaches to congestion management and carefully weigh system investments in operations as well as capital improvements, new types of performance information and communication are clearly needed. Citizens expect action on traffic congestion and demand performance information that relates to their concerns and is easy to understand. Traditional congestion measurements are based on modeled speed estimates generated from volume and capacity information. They are difficult to communicate, fail to capture subtle changes in real-world system performance, and are inadequate for many aspects of evaluating specific impacts of projects on congestion. The Washington State Department of Transportation (WSDOT), like other transportation agencies, has been grappling with new approaches to using operational data to monitor and measure system performance. This study describes progress the agency has made to date and how this work ties into national efforts. Speed and travel time data derived from the loop detector network on Puget Sound urban freeways are used by WSDOT to measure and communicate realtime travel times on 12 major commute routes. Continued work toward analyzing different types of congestion distinguishes between recurrent congestion caused by inadequate capacity and nonrecurrent congestion caused by incidents, inclement weather, and other factors such as travel to and from major sporting events. The agency also has made progress in measuring what is of most concern to commuters and haulers: travel time reliability.

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Section: State Of the Practice In Congestion Measurementmentioning

confidence: 99%

Measuring Congestion: Learning from Operational Data

Bremmer

Cotton

Cotey

et al. 2004

Transportation Research Record: Journal of the Transportation R

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show abstract

“…Note that traffic simulation or other similar tools are not used. Details of the HOWLATE methodology are covered elsewhere (11)(12)(13).…”

Section: Overview Of the Howlate Methodologymentioning

confidence: 99%

“…Benefits from the 511 advisory service were mostly observed in reduction of actual late arrivals for users of the service and in reduction of the en route expectation of late arrivals. Because Salt Lake City has very little variability relative to the larger metropolitan areas in previous HOWLATE studies [e.g., Washington, D.C., (11), Los Angeles, California ( 17)], it is not surprising that absolute benefit measures are more modest. However, as seen in previous studies, more dramatic benefits in Salt Lake City, Utah, can be observed for certain trips that experienced day-to-day travel-time variability.…”

Section: Benefits Of the 511 Advisory Servicementioning

confidence: 99%

Mobility and Commute Disutility Effects of 511 Deployment in Salt Lake City, Utah

Vasudevan

Wunderlich

Burnier

et al. 2008

Transportation Research Record: Journal of the Transportation R

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The mobility and disutility-reduction benefits to users of the 511 advisory service currently deployed in Salt Lake City, Utah, were evaluated through a modeling study conducted using the HOWLATE (Heuristic On-Line Web-Linked Arrival Time Estimation) methodology. The benefits of the existing 511 advisory service to seasoned users of the service and the potential additional benefit to providing travel-time estimates via the 511 service were evaluated. Data were provided by the Utah Department of Transportation. Four types of commuters were modeled: (a) a nonuser, who ignored traveler information; (b) a 511 advisory user, who made use of the 511 advisory service currently available to commuters in Salt Lake City; (c) a 511 travel-time user, who made use of a hypothetical 511 service that provided travel-time estimates; and (d) a dynamic message sign (DMS) user, who made use of DMS deployed along 20 mi of I-15. Analysis showed that the existing 511 advisory service resulted in mobility and disutility-reduction benefits to seasoned commuters. Compared with the nonuser, the 511 advisory user was able to reduce peak-period late arrivals by 14%. By supplementing the existing 511 advisory service with DMS, late arrivals for current 511 advisory users can be further reduced by more than 10%. Providing travel times for the entire network over the 511 service can reduce peak-period late arrivals for current 511 advisory users by nearly 30%.

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“…The HOWLATE methodology (7,9) applies dynamic programming to archived observed roadway travel times to quantify the mobility benefits of ATIS for simulated commuters. HOWLATE constructs synthetic, retrospective yoked driving trials between a pair of habitual commuters-one who does not use ATIS and the other who uses ATIS-who have the same origin, destination, desired arrival time, and habitual route.…”

Section: Overview Of Howlate Methodologymentioning

confidence: 99%

Comparison of Mobility Impacts on Urban Commuting

Vasudevan

Wunderlich

Larkin

et al. 2005

Transportation Research Record: Journal of the Transportation R

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This paper explores the effectiveness of relying on commercial radio as a source of traveler information and presents an approach to quantify mobility benefits from radio traffic advisories. The study, conducted for the Washington, D.C., metropolitan area, used an analytical technique called the heuristic online web-linked arrival time estimator to examine whether broadcast traffic advisories could have mobility benefits similar to a prospective notification-based traveler information service offering personalized estimates of travel times. Traffic reports were recorded from a local radio station and manually coded to translate them into a suitable format for analysis. Results from the analysis of 37 weekdays consisting of 4,410 advisories indicated that radio traffic advisories were less effective in improving traveler on-time reliability or reducing travel disutility than a service offering route-specific travel time reports. The simulated commuter receiving regular quantitative estimates of travel times on relevant roadways typically made more effective route and trip-timing decisions than the simulated commuter receiving comparatively incomplete, irregular, and vague advisories on prevailing congestion conditions from broadcast traffic reports. In contrast, the simulated commuter listening to radio advisories recorded similar benefits to those of the simulated control subject, who ignored all forms of traveler information. During the morning peak period, the simulated radio listener fared worse than the simulated control subject and recorded lower on-time reliability performance and higher travel disutility. During the afternoon peak period, the simulated radio listener had lower travel disutility but also experienced a nominal reduction in on-time reliability performance.

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On-Time Reliability Impacts of Advanced Traveler Information Services (ATIS): Washington, DC Case Study

Cited by 14 publications

References 2 publications

Measuring Congestion: Learning from Operational Data

Measuring Congestion: Learning from Operational Data

Mobility and Commute Disutility Effects of 511 Deployment in Salt Lake City, Utah

Comparison of Mobility Impacts on Urban Commuting

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