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  • Mobility and traffic research  (15)
  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2018
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2672, No. 32 ( 2018-12), p. 30-39
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2672, No. 32 ( 2018-12), p. 30-39
    Abstract: Methods for identifying and prioritizing high-crash locations for safety improvements are generally crash-based. There are fewer reported crashes involving non-motorized users and, in most states, reported crashes must involve a motor vehicle. This means that minor, non-injury events are not reported and those crashes that are reported tend to be more severe. Selecting projects based only on crash performance is sometimes limiting for these crash types and predicting where these crashes will occur next is also a challenging task. An alternative to crash-based selection is to develop risk-based criteria and methods. This paper presents the results of a research effort to develop a risk-scoring method with weights derived from data for use in project screening and selection in Oregon. To develop the risk model, data were collected from 188 segments and 184 intersections randomly selected on both state and non-state roadways. Geometric, land use, volume, and crash data were collected from Google Earth, EPA’s Smart Location Database, and the Oregon Department of Transportation crash database from 2009 to 2013. The sample included 213 bicycle and pedestrian crashes on the segments and 238 at intersections. Logistic regression models were developed and the outputs used to create pedestrian and bicycle risk-scoring tools for segments and intersections. The risk-scoring tool was applied to safety projects identified in the 2015 All Roads Transportation Safety (ARTS) project lists from Oregon. The risk scores for the case study applications aligned reasonably well with the project’s benefits-costs estimates.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2403378-9
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2011
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2216, No. 1 ( 2011-01), p. 165-173
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2216, No. 1 ( 2011-01), p. 165-173
    Abstract: During special events, shuttle services provided by a feeder bus system can be very useful for providing passengers access to the mass rapid transit system, especially passengers in suburban areas where regular transit service is not usually available. During Expo 2010 Shanghai in China, such shuttle services connected the major terminals and the expected locations of passenger generation. Because of constrained vehicle resources and the staggered characteristics of peak hours, the free time spans of regular vehicles were used to complete the fixed feeder timetables. An integer-linear programming model was developed to obtain the optimal schedules of the feeder vehicles, and an associated coordination mechanism was proposed to adjust the model-developed schedules to obtain feasible solutions. This model was applied to the feeder system in Jiading district during Expo 2010 Shanghai. The results showed that the temporary feeder system could serve Expo passengers with a relatively high level of service without causing evident degradation in the regular bus service.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2011
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2019
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2673, No. 8 ( 2019-08), p. 192-197
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2673, No. 8 ( 2019-08), p. 192-197
    Abstract: The main objective of this study was to examine driver demographic, anthropometric, and functional characteristics that may influence the ability of drivers in identifying critical targets (e.g., emergency vehicles) in the rear quarter blind spots while changing lane. This research employed a cost-effective approach using a consumer grade virtual reality apparatus to create driving scenarios. The experimental task was vehicle identification in various blind spots during a driving simulation. Logistic regression models were constructed to identify characteristics that were associated with critical target identification failures. Results from this experimental task indicated that factors contributed to vehicle identification error were age ( p 〈 0.01) and degree of functional rotation ( p  〈  0.1). The effect of participants’ baseline neck range of motion was statistically insignificant in the logistic regression models, which suggests that age and degree of functional rotation played a larger role in vehicle identification for this task. Findings may contribute to the design of related training and education programs for drivers in the future.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
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  • 4
    Online Resource
    Online Resource
    SAGE Publications ; 2004
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 1882, No. 1 ( 2004-01), p. 79-87
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 1882, No. 1 ( 2004-01), p. 79-87
    Abstract: A real-world vehicle routing and scheduling problem in which a set of known customers is served by a number of vehicles with known capacity is considered. The demand for each customer is stochastic and needs to be served within a given time window. Strict adherence to the time window constraints for customers who practice the just-in-time concept of inventory management is requisite. One or several factors of vehicle routing and scheduling problems are stochastic. This has a major impact on how the problem is both formulated and solved. A three-index model that is a mixed-integer stochastic program with recourse is proposed. A metaheuristic algorithm for solving this problem is developed. Computation of the objective function of this model is computationally expensive. The proxies to evaluate the moves in tabu search are embedded in this heuristic algorithm. The heuristic was tested with Solomon's 100-customer Euclidean vehicle routing problems with time windows but with the customer demands and vehicle capacity excluded. The test results revealed that problem difficulty was relevant not only to the number of customers but also to the average filling coefficients. A routing schedule with a lower value of the average filling coefficient is made to serve a scattering flock of customers.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2004
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  • 5
    Online Resource
    Online Resource
    SAGE Publications ; 2004
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 1889, No. 1 ( 2004-01), p. 83-93
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 1889, No. 1 ( 2004-01), p. 83-93
    Abstract: Smooth airport pavement will help to increase pavement life, reduce structural damage to aircraft, and minimize complaints from pilots and passengers. The main objective of this study was to explore the relationship of an aircraft's vertical acceleration and gear loading to pavement-profile wavelength. The software package APRas, developed by APR Consultants, Inc., was used in this study to simulate an aircraft's vertical acceleration and pavement-loading responses. The simulation results indicated that the occurring wavelength of an aircraft's peak vertical acceleration and loading increased as the taxi speed increased and that pavement roughness had a greater influence on nose-gear loading than on main-gear loading. It was also found that airport pavement roughness was related more to flight safety than to passenger comfort. Pavement profiles of wavelengths between 3.3 and 10.0 m should be prevented in airport apron and taxiway pavements, and profiles of wavelengths between 10.0 and 50.0 m must be prevented in airport runway pavement. Regression models of peak acceleration and pavement loading wavelengths at various aircraft speeds, gross weights, and wheelbases were established. The widely used international roughness index, which is used to evaluate highway roughness, is not suitable in the assessment of airport-pavement roughness. The feasibility of adopting wavelet theory to establish a new evaluation index for airport pavement was confirmed. Further studies can be conducted to develop a new index to reflect the ride quality of passengers in the aircraft.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2004
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  • 6
    Online Resource
    Online Resource
    SAGE Publications ; 2023
    In:  Transportation Research Record: Journal of the Transportation Research Board
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications
    Abstract: This paper develops an assessment and optimization model for configuring roadside LiDAR (Line Detection and Ranging) installation. More specifically, an analytic and a simulation model have been developed to analyze the detection blind zones and their impact on vehicle detection and tracking capabilities in Connected and Automated Vehicle (CAV) applications. The proposed model can derive the area and height of the detection blind zones from a given roadside LiDAR location and road geometry. Evaluation metrics are also proposed to assess the severity of the blind zone including laser beam density, blind zone height and duration, vehicle trajectory missing rate and duration. The simulation model can be used to evaluate and identify optimal configurations for different installation scenarios. To validate the proposed model, the 15-min US101 NGSIM (Next Generation SIMulation) dataset was used for validating the proposed model. Different configuration settings were simulated and compared. The evaluation results demonstrate the capabilities of the proposed models in planning for optimal roadside LiDAR sensor installation for vehicle detection and tracking.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
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  • 7
    Online Resource
    Online Resource
    SAGE Publications ; 2012
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2286, No. 1 ( 2012-01), p. 29-38
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2286, No. 1 ( 2012-01), p. 29-38
    Abstract: Dual right-turn lanes are increasingly used as a design alternative at urban intersections, primarily to accommodate high right-turn demand. For dual right-turn lanes, an accurate estimate of right-turn-on-red (RTOR) capacity can contribute to better decisions about whether RTOR should be allowed or prohibited and may lead to refined delay estimation and improved signal timing. A gap-acceptance model was formulated for predicting lane-specific RTOR capacities at dual right-turn lanes. The proposed model can represent the unequal effects of conflicting traffic streams from different cross-street lanes on RTOR capacities of dual right-turn lanes. Existing probabilistic methods were adapted to adjust RTOR capacity for shared through and right-turn lanes. Microsimulation models were developed, calibrated based on field data, and used as benchmarks to validate the proposed model. Numerical experiments indicated that the proposed model exhibits a significantly improved ability to predict RTOR capacities for dual right-turn lanes compared with the classical Harders model.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2012
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  • 8
    Online Resource
    Online Resource
    SAGE Publications ; 2010
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2149, No. 1 ( 2010-01), p. 37-49
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2149, No. 1 ( 2010-01), p. 37-49
    Abstract: Protected–permissive left-turn (PPLT) and protected only (PO) left-turn signal control modes have been widely used at signalized intersections. The selection between these two control modes is a complicated process in which practitioners need to consider safety and operational impacts. In this study researchers developed analytical models for estimating the operational benefits and the safety risks associated with the use of the PPLT control mode. Evaluation results demonstrated that the proposed models could provide accurate and reliable estimates for the delay reduction and the potential conflicts caused by the use of the PPLT mode. Results of this study will be useful for developing quantitative criteria for the selection between the PO and PPLT modes.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2010
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  • 9
    Online Resource
    Online Resource
    SAGE Publications ; 2023
    In:  Transportation Research Record: Journal of the Transportation Research Board
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications
    Abstract: Conflicts often occur between bus drivers and passengers or among passengers, leading to dangerous situations while driving. However, tools to explore drivers’ and passengers’ forms of anger expression are lacking. This paper describes the development of a bus passenger anger expression inventory (BPAX) and a bus driver anger expression inventory (BDAX) based on a 402 passenger sample and a 414 driver sample. Exploratory principal component analysis revealed five factors in the BPAX: verbal aggressive expression, verbal positive expression, personal physical aggressive expression, adaptive/constructive expression, and displaced aggression. Similarly, six factors were identified in the BDAX: verbal positive expression, use of the vehicle to express anger, verbal aggressive expression, adaptive/constructive expression, personal physical aggressive expression, and displaced aggression. Overall, gender showed a difference only in aggressive expressions of passenger anger, not in drivers’ anger expressions. Older, less educated, and lower-income passengers preferred to express anger aggressively and rarely relieved conflicts in a positive verbal way. For driver groups, differences in age, anger level, and city grade were reflected in their forms of anger expression. The results of this paper are significant for strengthening driver safety training, improving safety facilities in buses, enhancing passenger education on civilized riding, and perfecting laws and regulations.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2403378-9
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  • 10
    Online Resource
    Online Resource
    SAGE Publications ; 2011
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2239, No. 1 ( 2011-01), p. 23-33
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2239, No. 1 ( 2011-01), p. 23-33
    Abstract: This paper presents a model of same-day mode choice at the household level for developing countries. A rule-based algorithm combining classical random utility maximization theory within a microsimulation framework is used. Modeling of private vehicle usage (including vehicle allocation and sharing use in household) is an essential component of this model because vehicle deficiency is common in developing countries. This model consists of four steps: (a) the allocation of private vehicles (car, motorcycle, and bicycle) in a household, (b) the mode choice of private vehicle users specified in the first step, (c) vehicle sharing in a household, and (d) the mode choice of individuals who do not use private vehicles. The adaptability of the model was improved by simulations on car, motorcycle, and bicycle usage. Discrepancies in the mode choice behavior of household members with and without the use of private vehicles are captured in this paper through different modeling methods. The rule-based algorithm, binary logit model, multinomial logit model, and mixed logit model were applied together in this four-step model. Travel diary survey data from 2007 from Bengbu, China, were used as an example for the validation test of this model. The results demonstrate that this model can accurately predict the mode choice of all household members in an internally self-consistent and theoretically credible manner for a midsize city in China. The proposed model is highly conducive to travel demand forecasting and transportation policy making.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2011
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