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  • 2015-2019  (14)
  • Mobility and traffic research  (14)
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  • 2015-2019  (14)
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  • Mobility and traffic research  (14)
  • 1
    Online Resource
    Online Resource
    Dynamic Programming Model for Attended Delivery Time Slot Management
    SAGE Publications ; 2016
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2548, No. 1 ( 2016-01), p. 43-52
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2548, No. 1 ( 2016-01), p. 43-52
    Abstract: Offering customers the choice of delivery time slots is an emerging business strategy in attended home delivery service because this option has the potential to improve service level and reduce the risk of delivery failure. A dynamic programming model was developed for assisting attended delivery service providers with pricing decisions in managing time slots. Since the choice of delivery time slots involves both marketing and operational issues, a proposed dynamic pricing model maximizes the total system expected revenue while also improving the matches between customers’ and service providers’ preferred time slots and fees. The study started by managing homogeneous time slots with three kinds of customer behaviors (i.e., price taker, price negotiator, and leave-without-pay) and then considered heterogeneous time slots. The study found that the optimal price might vary depending on customers’ arrival rates in the system, the remaining capacities of available time slots, the percentages of customers who are price negotiators, and the time left in the sales periods.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2548-06
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2016
    detail.hit.zdb_id: 2403378-9
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  • 2
    Online Resource
    Online Resource
    Capacity Modeling of Weaving Areas on Urban Expressways with Exclusive Bus Lanes Based on Gap Acceptance Theory
    SAGE Publications ; 2019
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2673, No. 8 ( 2019-08), p. 365-376
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2673, No. 8 ( 2019-08), p. 365-376
    Abstract: Intense lane-changing maneuvers at weaving sections often cause traffic turbulence on expressways, especially in the presence of a concurrent medium exclusive bus lane (XBL) and general purpose lanes. Such intense lane-changing activity usually affects the operation and reduces the capacity of weaving sections in relation to their equivalent basic expressway segments. In this context, a study on the capacity model of weaving areas on an expressway with a median XBL is conducted based on the analysis of lane-change behaviors using gap acceptance theory. Two weaving sections on expressways with median XBL are selected as case studies to obtain the estimated capacity as well as the maximum traffic throughput under a certain bus saturation on the XBL. The results show that estimated capacity is larger than maximum traffic throughput because of low utilization rate of buses on the XBL, and capacity is significantly affected by weaving demand. Error measures based on the estimated and observed maximum traffic throughput are analyzed to verify the validity of the proposed model. A sensitivity analysis shows that, compared with the increase of on-ramp bus flow ratio, the increase of off-ramp bus flow ratio results in a more obvious trend of the reduction of capacity and maximum traffic throughput.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/0361198119843235
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2403378-9
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  • 3
    Online Resource
    Online Resource
    Platoon-Based Speed Control Algorithm for Ecodriving at Signalized Intersection
    SAGE Publications ; 2015
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2489, No. 1 ( 2015-01), p. 29-38
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2489, No. 1 ( 2015-01), p. 29-38
    Abstract: An ecodriving speed control algorithm is proposed for a platoon of vehicles at a signalized intersection. Both the running status of the target platoon and the impact of the downstream platoon are considered and analyzed. The acceleration–deceleration profile, instead of speed trajectories, is used in this research as the optimization objective to prevent drivers from idling and to let them clear the intersection during the green light as often as possible. When a platoon is a mixture of vehicles obeying or disobeying the system's guidance, the proposed algorithm will group those vehicles into new platoons according to their permutations (different positions of obedient and nonobedient vehicles). Three illustrative examples are provided to validate the proposed algorithm. Results indicate that when the platoon needs to accelerate to pass the intersection, a smaller headway causes less fuel consumption, whereas a larger headway results in less fuel consumption if the vehicles decelerate to pass the intersection. In addition, the leading vehicle is found to consume more fuel if it disobeys the system's advice; however, if it obeys the system's advice, the fuel consumption for the following vehicles may not increase noticeably.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2489-04
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2403378-9
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  • 4
    Online Resource
    Online Resource
    Fault Tree Analysis of Adjacent Track Accidents on Shared-Use Rail Corridors
    SAGE Publications ; 2016
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2546, No. 1 ( 2016-01), p. 129-136
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2546, No. 1 ( 2016-01), p. 129-136
    Abstract: Adjacent-track accidents (ATAs) have been identified as an important hazard on shared-use rail corridors. In these train accidents derailed railroad equipment intrudes on (fouls) an adjacent track, disrupts operations, and potentially causes a collision with trains operating on the fouled tracks. Derailments without intrusion may cause equipment and infrastructure damage, passenger casualties, and disturbances to system operation; however, an intrusion may be even more severe because of the potential involvement of multiple trains. Opportunities for ATAs have increased in recent years because of expanded passenger and transit service on freight railroad trackage, right-of-way, and corridors and because of increased multiple tracks related to capacity expansion projects. This paper presents a probabilistic risk assessment methodology for analyzing ATA risk. An event tree is created to identify scenarios for ATAs, and a fault tree analysis is performed to identify basic events that contribute to such accidents. The quantitative probability of an ATA is derived by using Boolean algebra on the basis of the results of the fault tree analysis.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2546-16
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2016
    detail.hit.zdb_id: 2403378-9
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  • 5
    Online Resource
    Online Resource
    Simulated Effects of the Location of High-Speed Rail Stations on Land Development: Case Study of the Lisbon Metropolitan Area, Portugal
    SAGE Publications ; 2016
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2564, No. 1 ( 2016-01), p. 127-137
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2564, No. 1 ( 2016-01), p. 127-137
    Abstract: This paper studies the effects of high-speed rail (HSR) on land cover change in the Lisbon metropolitan area (LMA) in Portugal according to a bilevel cellular automata/agent-based modeling framework. The model incorporates spatial mixed logit models at the local level and panel simultaneous equations models at the regional level. The regional submodel generates socioeconomic activities that are input into the local submodel for land development. The regional activities are also influenced by the local outputs. A backcasting simulation is executed to validate the model on the basis of the actual land cover change from 1991 to 2011. Five scenarios are then designed according to the numbers and the locations of HSR stations in the LMA. The simulation shows that the unbuilt land covers are largely developed by 2031, regardless of the inauguration of HSR. Under the scenarios with HSR, because of the dramatic improvement of accessibility, the land cover change speed is largely accelerated. With an additional station on the southern bank of the Tagus River, the overall accessibility does not further increase from the scenario with only one HSR station. Thus, the total land development remains similar. The enhanced access to the HSR service from the additional station contributes to the redistribution of the land cover change activities by moving them slightly southeastward. The results highlight the effect that station location could have on land cover change, pointing out the importance of carefully choosing the location.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2564-14
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2016
    detail.hit.zdb_id: 2403378-9
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  • 6
    Online Resource
    Online Resource
    Calibration of the Platoon Dispersion Model by Considering the Impact of the Percentage of Buses at Signalized Intersections
    SAGE Publications ; 2017
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2647, No. 1 ( 2017-01), p. 93-99
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2647, No. 1 ( 2017-01), p. 93-99
    Abstract: Despite the wide use of Robertson’s platoon dispersion model, few studies have calibrated this model under different traffic conditions at signalized intersections. This study calibrated the platoon dispersion model on the basis of field data collected from Beijing; the impact of the percentage of buses was considered in the calibration. First, a video was made of the platoon dispersion at an intersection. The link travel time of the vehicles in the platoon was extracted from the video. Then, the parameters of the platoon dispersion model were estimated with the average and standard deviations of the fleet link travel times. It was found that the derived parameters varied, with the observed percentage of buses ranging from 0% to 6% or 15% to 22%. This factor showed the impact of the percentage of buses on platoon dispersion under specific conditions. Regression models were developed to reflect such an impact. To evaluate the effectiveness of the calibrated platoon dispersion model, the downstream flow profiles derived from the calibrated model were compared with the field-observed downstream flow profiles within the dispersion process. Finally, the influence of the time step on the calibrated platoon dispersion model was analyzed. The results show that the calibrated model has high accuracy. The calibrated platoon dispersion model can be used to represent the process of platoon dispersion at signalized intersections where the impact is affected by the percentage of buses. It can contribute to signal timing optimization of the intersections.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2647-11
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2403378-9
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  • 7
    Online Resource
    Online Resource
    Effect of Mixing Time and Temperature on the Homogeneity of Asphalt Mixtures Containing Reclaimed Asphalt Pavement Material
    SAGE Publications ; 2018
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2672, No. 28 ( 2018-12), p. 167-177
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2672, No. 28 ( 2018-12), p. 167-177
    Abstract: Laboratory-produced reclaimed asphalt pavement (RAP) material, new aggregate, and tinted new binder were mixed (RAP proportion: 40%) with 12 different combinations of mixing temperatures and times, based on which circular specimens of various thicknesses were fabricated and then subjected to multi-direction indirect tensile stiffness modulus (ITSM) testing and color image analysis. Statistical calculations including average value, coefficient of variation, standard deviation, and range were carried out to investigate the effects of different mixing conditions on the homogeneity of asphalt mixtures containing RAP. The results show that the deterioration of homogeneity of asphalt mixtures containing RAP was mainly caused by the asynchronous breaking of clusters. The mixing temperature was decisive in determining the resistance of clusters to breaking, and for mixing conditions chosen in this study, the resistance increases with the increase of mixing temperature. Short mixing time might lead to a phenomenon of “momentary homogeneity,” in which clusters were not broken and the blending degree between aged and new binder was low.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/0361198118796967
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2403378-9
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  • 8
    Online Resource
    Online Resource
    A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic-State Estimation
    SAGE Publications ; 2018
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2672, No. 45 ( 2018-12), p. 87-105
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2672, No. 45 ( 2018-12), p. 87-105
    Abstract: This study proposes a deep generative adversarial architecture (GAA) for network-wide spatial-temporal traffic-state estimation. The GAA is able to combine traffic-flow theory with neural networks and thus improve the accuracy of traffic-state estimation. It consists of two Long Short-Term Memory Neural Networks (LSTM NNs) which capture correlation in time and space among traffic flow and traffic density. One of the LSTM NNs, called a discriminative network, aims to maximize the probability of assigning correct labels to both true traffic-state matrices (i.e., traffic flow and traffic density within a given spatial-temporal area) and the traffic-state matrices generated from the other neural network. The other LSTM NN, called a generative network, aims to generate traffic-state matrices which maximize the probability that the discriminative network assigns true labels to them. The two LSTM NNs are trained simultaneously such that the trained generative network can generate traffic matrices similar to those in the training data set. Given a traffic-state matrix with missing values, we use back-propagation on three defined loss functions to map the corrupted matrix to a latent space. The mapping vector is then passed through the pre-trained generative network to estimate the missing values of the corrupted matrix. The proposed GAA is compared with the existing Bayesian network approach on loop detector data collected from Seattle, Washington and that collected from San Diego, California. Experimental results indicate that the GAA can achieve higher accuracy in traffic-state estimation than the Bayesian network approach.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/0361198118798737
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2403378-9
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  • 9
    Online Resource
    Online Resource
    High-Speed Rail and Urban Decentralization in China
    SAGE Publications ; 2015
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2475, No. 1 ( 2015-01), p. 16-26
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2475, No. 1 ( 2015-01), p. 16-26
    Abstract: The construction of a large-scale high-speed rail (HSR) network in China is altering the time–space relationships between cities. As a result, HSR is changing the traditional hierarchical urban system in China, and regions with large-scale networks of cities are forming. At the city level, the construction of HSR new towns could contribute to urban decentralization. The focus in this study is on the impact of HSR at the city level and how HSR is transforming cities in China through urban spatial restructuring. Case studies on two cities located on the Beijing–Shanghai HSR corridor were conducted, and the impact of the planned HSR new towns on the decentralization patterns of these two cities as well as the potential effects on their economic development are discussed. For large cities, the decentralization is actively driven by HSR because these cities are able to carefully choose the locations of their HSR stations. An HSR new town (i.e., a new district built around an HSR station) serves as an opportunity for well-planned spatial restructuring and as a catalyst for sustainable economic growth. For medium-sized to small cities, decentralization is often passively driven by HSR because the site selections of HSR stations are beyond the cities' control. The long distance between the HSR new town and the urban center weakens the economic strength of the existing urban core. The HSR new town presumably functions as a distraction rather than an attraction to the economic growth of the city as a whole. The leapfrog type of development also induces a wasteful use of land and other resources and further increases the living costs of the city's people and the operation costs of its firms.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2475-03
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2403378-9
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  • 10
    Online Resource
    Online Resource
    Development of a New Faulting Model in Jointed Concrete Pavement using LTPP Data
    SAGE Publications ; 2019
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2673, No. 5 ( 2019-05), p. 407-417
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2673, No. 5 ( 2019-05), p. 407-417
    Abstract: Faulting is a major and commonplace distress in jointed concrete pavement (JCP) that can directly cause pavement roughness and adversely influence the ride quality of a vehicle. Faulting also plays an essential role in concrete pavement design. Notwithstanding the importance of faulting, the accuracy and reasonability of the faulting prediction models that have been developed to date remain controversial. Furthermore, the process of faulting over time is still not fully understood. This paper proposes a novel mechanistic-empirical model to estimate faulting depth at joints in the wheel path in JCP. Two stages within the process of faulting were revealed by the model and are introduced in this study. To distinguish the two stages of faulting, an inflection point, as a critical faulting depth, was directly determined by this model and suggested to be an indicator of the initiation of erosion for concrete pavement design. The proposed model was proven accurate and reliable by using long-term pavement performance data. The parameters in the model were statistically calibrated with performance-related factors by Akaike’s Information Criterion for variable selection and performing stepwise regression.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/0361198119838988
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2403378-9
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