Hybrid approaches to estimating freeway travel times using point traffic detector data

The accurate and reliable estimation of travel time based on point detector data is needed to support Intelligent Transportation System (ITS) applications. It has been found that the quality of travel time estimation is a function of the method used in the estimation and varies for different traffic conditions. In this study, two hybrid on-line travel time estimation models, and their corresponding off-line methods, were developed to achieve better estimation performance under various traffic conditions, including recurrent congestion and incidents. The first model combines the Mid-Point method, which is a speed-based method, with a traffic flow-based method. The second model integrates two speed-based methods: the Mid-Point method and the Minimum Speed method. In both models, the switch between travel time estimation methods is based on the congestion level and queue status automatically identified by clustering analysis. During incident conditions with rapidly changing queue lengths, shock wave analysis-based refinements are applied for on-line estimation to capture the fast queue propagation and recovery. Travel time estimates obtained from existing speed-based methods, traffic flow-based methods, and the models developed were tested using both simulation and real-world data. The results indicate that all tested methods performed at an acceptable level during periods of low congestion. However, their performances vary with an increase in congestion. Comparisons with other estimation methods also show that the developed hybrid models perform well in all cases. Further comparisons between the on-line and off-line travel time estimation methods reveal that off-line methods perform significantly better only during fast-changing congested conditions, such as during incidents. The impacts of major influential factors on the performance of travel time estimation, including data preprocessing procedures, detector errors, detector spacing, frequency of travel time updates to traveler information devices, travel time link length, and posted travel time range, were investigated in this study. The results show that these factors have more significant impacts on the estimation accuracy and reliability under congested conditions than during uncongested conditions. For the incident conditions, the estimation quality improves with the use of a short rolling period for data smoothing, more accurate detector data, and frequent travel time updates.

A methodology to estimate time varying user responses to travel time and travel time reliability in a road pricing environment

Road pricing has emerged as an effective means of managing road traffic demand while simultaneously raising additional revenues to transportation agencies. Research on the factors that govern travel decisions has shown that user preferences may be a function of the demographic characteristics of the individuals and the perceived trip attributes. However, it is not clear what are the actual trip attributes considered in the travel decision- making process, how these attributes are perceived by travelers, and how the set of trip attributes change as a function of the time of the day or from day to day. In this study, operational Intelligent Transportation Systems (ITS) archives are mined and the aggregated preferences for a priced system are extracted at a fine time aggregation level for an extended number of days. The resulting information is related to corresponding time-varying trip attributes such as travel time, travel time reliability, charged toll, and other parameters. The time-varying user preferences and trip attributes are linked together by means of a binary choice model (Logit) with a linear utility function on trip attributes. The trip attributes weights in the utility function are then dynamically estimated for each time of day by means of an adaptive, limited-memory discrete Kalman filter (ALMF). The relationship between traveler choices and travel time is assessed using different rules to capture the logic that best represents the traveler perception and the effect of the real-time information on the observed preferences. The impact of travel time reliability on traveler choices is investigated considering its multiple definitions. It can be concluded based on the results that using the ALMF algorithm allows a robust estimation of time-varying weights in the utility function at fine time aggregation levels. The high correlations among the trip attributes severely constrain the simultaneous estimation of their weights in the utility function. Despite the data limitations, it is found that, the ALMF algorithm can provide stable estimates of the choice parameters for some periods of the day. Finally, it is found that the daily variation of the user sensitivities for different periods of the day resembles a well-defined normal distribution.

Improved Annual Average Daily Traffic (AADT) estimation for local roads using parcel-level travel demand modeling

Annual Average Daily Traffic (AADT) is a critical input to many transportation analyses. By definition, AADT is the average 24-hour volume at a highway location over a full year. Traditionally, AADT is estimated using a mix of permanent and temporary traffic counts. Because field collection of traffic counts is expensive, it is usually done for only the major roads, thus leaving most of the local roads without any AADT information. However, AADTs are needed for local roads for many applications. For example, AADTs are used by state Departments of Transportation (DOTs) to calculate the crash rates of all local roads in order to identify the top five percent of hazardous locations for annual reporting to the U.S. DOT. ^ This dissertation develops a new method for estimating AADTs for local roads using travel demand modeling. A major component of the new method involves a parcel-level trip generation model that estimates the trips generated by each parcel. The model uses the tax parcel data together with the trip generation rates and equations provided by the ITE Trip Generation Report. The generated trips are then distributed to existing traffic count sites using a parcel-level trip distribution gravity model. The all-or-nothing assignment method is then used to assign the trips onto the roadway network to estimate the final AADTs. The entire process was implemented in the Cube demand modeling system with extensive spatial data processing using ArcGIS. ^ To evaluate the performance of the new method, data from several study areas in Broward County in Florida were used. The estimated AADTs were compared with those from two existing methods using actual traffic counts as the ground truths. The results show that the new method performs better than both existing methods. One limitation with the new method is that it relies on Cube which limits the number of zones to 32,000. Accordingly, a study area exceeding this limit must be partitioned into smaller areas. Because AADT estimates for roads near the boundary areas were found to be less accurate, further research could examine the best way to partition a study area to minimize the impact.^

A Longitudinal Study of Consumer Perceptions of Travel Websites: The Case of Hong Kong

Knowing how consumers perceive travel websites can help practitioners better understand consumers’ online requirements. This paper reports the findings of a longitudinal study that investigated the changes and trends in the profile and behavior of online travel-website users in Hong Kong. The profiles of e-buyers and e-browsers in 2009, when compared with those established by prior studies conducted in 2000 and 2007, point in a new direction for practitioners and researchers investigating online travelwebsite user behavior. The results indicated that more middle-aged consumers have become online travel-website users, and that website security and price are perceived to be the most important factors for travel-website use by both e-browsers and e-buyers.

Visitor At-Destination Search for Travel-Related Services

The phenomenon of at-destination search activity and decision processes utilized by visitors to a location is predominantly an academic unknown. As destinations and organizations increasingly compete for their share of the travel dollar, it is evident that more research need to be done regarding how consumers obtain information once they arrive at a destination. This study examined visitor referral recommendations provided by hotel and non-hotel ''locals" in a moderately-sized community for lodging, food service, and recreational and entertainment venues.

Book Review: Travel Law, Cases, and Materials

Travel Law, Cases and Materi als, by Robert M. Jarvis, John R. Goodwin, William D. Henslee (Durham, N.C.: Carolina Academic Press, 19981, ISBN 0-89089-802-2,1998, vii + 738 pp., including tables, acknowledgments, appendices, index. $80 hardback.

The Travel Industry: What's in a Name?

The travel and tourism industry is enormous in both size and importance. There can be little doubt that the field is striving to accommodate the diversity of opinion concerning what the industry is and how it can be improved and enlarged even further. Resistance to critiquing long-held beliefs about the industry may inhibit its future. Deconstruction, a postmodern method of analysis, is proposed as one tool with which to engage in reflection upon what the industry is and where it may be headed.

Prolegomenon to a History of Travel

The author attempts to provide a definition of travel by comparing it with the instinctive migration of animals and birds and viewing its changes over time. As a study of motion voluntarily undertaken, a history of travel can contribute to a better understanding of human beings

Travel Marketing: Industry Relationships and Benefits

In the discussion - Travel Marketing: Industry Relationships and Benefits - by Andrew Vladimir, Visiting Assistant Professor, School of Hospitality Management at Florida International University, the author initially states: “A symbiotic relationship exists among the various segments of the travel and tourism industry. The author has solicited the thinking of 37experts and leaders in the field in a book dealing with these relationships and how they can be developed to benefit the industry. This article provides some salient points from those contributors.” This article could be considered a primer on networking for the hospitality industry. It has everything to do with marketing and the relationships between varied systems in the field of travel and tourism. Vladimir points to instances of success and failure in marketing for the industry at large. And there are points of view from thirty-seven contributing sources here. “Miami Beach remains a fitting example of a leisure product that has been unable to get its act together,” Vladimir shares a view. “There are some first class hotels, a few good restaurants, alluring beaches, and a splendid convention center, but there is no synergism between them, no real affinity, and so while visitors admire the Fontainebleau Hilton and enjoy the food at Joe's Stone Crabs, the reputation of Miami Beach as a resort remains sullied,” the author makes a point. In describing cohesiveness between exclusive systems, Vladimir says, “If each system can get a better understanding of the inner workings of neighboring related systems, each will ultimately be more successful in achieving its goals.” The article is suggesting that exclusive systems aren’t really exclusive at all; or at least they shouldn’t be. In a word – competition – drives the market, and in order for a property to stay afloat, aggressive marketing integrated with all attendant resources is crucial. “Tisch [Preston Robert Tisch, currently – at the time of this writing - the Postmaster General of the United States and formerly president of Lowe’s Hotels and the New York Visitors and Convention Bureau], in talking about the need for aggressive marketing says: “Never...ever...take anything for granted. Never...not for a moment...think that any product or any place will survive strictly on its own merits.” Vladimir not only sources several knowledgeable representatives in the field of hospitality and tourism, but he also links elements as disparate as real estate, car rental, cruise and airlines, travel agencies and traveler profiles to illustrate his points on marketing integration. In closing, Vladimir quotes the Honorable Donna Tuttle, Undersecretary of Commerce for Travel and Tourism, “Uniting the components of this industry in an effective marketing coalition that can compete on an equal footing with often publicly-owned foreign tourism conglomerates and multi-national consortia must be a high priority as the United States struggles to maintain and expand its share of a rapidly changing global market.”

Airline Deregulation, Computerized Reservation Systems, and Travel Agents

With the beginning of airline deregulations in 1978, U.S. domestic operations were in for a period of turmoil, adjustment, vibrancy, entrepreneurship, and change. A great deal has been written about the effects of deregulation on airlines and their personnel, and on the public at large. Less attention has been paid to the effects on travel agents and on the seminal role of computerized reservations systems (CRSs) in the flowering of travel agencies. This article examines both of these phenomena.

Future Seniors and the Travel Industry

Persons over the age of 55 will soon comprise the majority of the travel industry. The impact of market size and potential is staggering. The author discusses the future senior travel market and provides recommendations for attracting and servicing this group.

Obesity and Air Travel: Weighing Up the Issues

It may soon be the norm for many airline passengers arriving at the check-in desk of any international airline with both stow- away and carry-on luggage to be asked to step onto the weighing scale as the airlines attempt to compete and remain operationally viable in what has become for most a cut-throat and highly litigious operating environment. The author's commentary seeks to highlight a number of the issues surrounding the current impasse. It is also intended to catalyze a more healthy and informed debate aimed at finding an acceptable resolution to this crisis prior to one being imposed which fails to satisfy the needs of either camp.

A Study of Online Hotel Reservations on Asia Pacific-Based, European-Based, and North American-Based Travel Websites

This paper reports a study that examined hotel reservation services on travel websites. Using a systematic search, 90 travel websites were selected with an equal number of North American-based, European-based, and Asia Pacfic-based websites. These regions represent the areas of the world with the most Internet users. Based on the developed framework of information quality, the contents of the selected travel websites were evaluated. Be empirical results indicated that the travel websites achieved different levels of quality in online information, and that North American-based websites performed significantly better in some attributes.

A New Vision: U.S Travel and Tourism Industry

Greg Farmer, U.S. Under Secretary of Commerce for Travel and Tourism, envisions a new proactive role for travel and tourism in the U.S. He has written this article especially for the FIU Hospitality Review.