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  • Mobility and traffic research  (7)
  • 1
    Online Resource
    Online Resource
    Evaluation of Interactions between Buses and Bicycles at Stops
    SAGE Publications ; 2014
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2468, No. 1 ( 2014-01), p. 11-18
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2468, No. 1 ( 2014-01), p. 11-18
    Abstract: Buses and bicycles that share lanes interfere with each other, especially at bus stops. The primary objective of this study was to develop quantitative approaches to analyze interactions between buses and bicycles at bus stops. Field investigations were conducted at four types of bus stops in China. Observed data were used to test the significance of differences in bicycle speeds, and a model was proposed to predict the number of meeting events between buses and bicycles. Results indicate that bicycle speeds are influenced significantly when a bicyclist meets a bus at a bus stop where both vehicle types share the same lane. Setting strips to separate bus and bicycle movement trajectories can reduce or eliminate the impact on efficiency and safety. The number of meeting events between buses and bicycles can be used to characterize the level of service of this facility shared by buses and bicycles. The proposed model achieved relatively accurate prediction for the number of meeting events. The findings can contribute to a quantitative understanding of the effects on buses and bicycles at stops and to an evaluation of this facility shared by buses and bicycles.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2468-02
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 2403378-9
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  • 2
    Online Resource
    Online Resource
    Real-Time Prediction of Vehicle Trajectories for Proactively Identifying Risky Driving Behaviors at High-Speed Intersections
    SAGE Publications ; 2018
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2672, No. 38 ( 2018-12), p. 233-244
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2672, No. 38 ( 2018-12), p. 233-244
    Abstract: At high-speed intersections in many Chinese cities, a traffic-light warning sequence at the end of the green phase—three seconds of flashing green followed by three seconds of yellow—is commonly implemented. Such a long phase transition time leads to heterogeneous decision-making by approaching drivers as to whether to pass the signal or stop. Therefore, risky driving behaviors such as red-light running, abrupt stop, and aggressive pass are more likely to occur at these intersections. Proactive identification of risky behaviors can facilitate mitigation of the dilemma zone and development of on-board safety altering strategies. In this study, a real-time vehicle trajectory prediction method is proposed to help identify risky behaviors during the signal phase transition. Two cases are considered and treated differently in the proposed method: a single vehicle case and a following vehicle case. The adaptive Kalman filter (KF) model and the K-nearest neighbor model are integrated to predict vehicle trajectories. The adaptive KF model and intelligent driver model are fused to predict the following vehicles’ trajectories. The proposed models are calibrated and validated using 1,281 vehicle trajectories collected at three high-speed intersections in Shanghai. Results indicate that the root mean square error between the predicted trajectories and the actual trajectories is 5.02 m for single vehicles and 2.33 m for following vehicles. The proposed method is further applied to predict risky behaviors, including red-light running, abrupt stop, aggressive pass, speeding pass, and aggressive following. The overall prediction accuracy is 95.1% for the single vehicle case and 96.2% for the following vehicle case.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/0361198118797211
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
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  • 3
    Online Resource
    Online Resource
    Spatio-Temporal Graph Attention Convolution Network for Traffic Flow Forecasting
    SAGE Publications ; 2024
    In:  Transportation Research Record: Journal of the Transportation Research Board
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications
    Abstract: Because of the complexity of the traffic network and the non-linearity of traffic data, it is extremely challenging to accurately predict long-term traffic flow. Spatio-temporal graph neural networks are currently the best paradigm for traffic flow forecasting, but most studies are still conducted on predefined graphs or graphs entirely generated by parameter training, which fail to extract the genuine spatio-temporal correlations in road networks. While the attention mechanism is effective in capturing global information, it may overlook local changes. We propose a novel spatio-temporal graph attention convolution network for traffic flow forecasting. In the time dimension, we combine temporal convolutions, which are good at capturing short-term features, with temporal attention, comprehensively considering short-term and long-term temporal correlations. In the spatial dimension, we utilize graph convolutions of fused multiple graphs to thoroughly extract the hidden information and local changes in road networks. By integrating this with spatial attention, we fully consider both local and global spatial correlations. Experimental results on real-world datasets demonstrate the effectiveness of our approach.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981231225208
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2024
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  • 4
    Online Resource
    Online Resource
    Coal Gangue Applied to Low-Volume Roads in China
    SAGE Publications ; 2011
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2204, No. 1 ( 2011-01), p. 258-266
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2204, No. 1 ( 2011-01), p. 258-266
    Abstract: Coal gangue is a solid waste produced from the production, washing, and selection of coal processes. Coal gangue is a mixture of minerals containing carbonaceous shale, sandstone, shale, and conglomerate. Stabilizing coal gangue with different inorganic binders, such as lime, cement, and a combination of lime and fly ash, was studied. The mix design of inorganic binder–stabilized coal gangue was determined on the basis of compaction tests and unconfined compressive strength tests. The performance of inorganic binder–stabilized coal gangue was evaluated by testing for compressive strength, flexural tensile strength, freeze–thaw stability, and thermal shrinkage. It was found that inorganic binder–stabilized coal gangue has high compressive strength and flexural tensile strength, good freeze–thaw stability, and a low thermal shrinkage property. These properties satisfy the requirement of third-class roads in China. Therefore, coal gangue can be used as a base or subbase material in low-volume rural roads when it is properly stabilized by lime and fly ash or cement.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2204-32
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2011
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  • 5
    Online Resource
    Online Resource
    Characterizing the Particle Variations and Human Exposure in Port and Urban Areas
    SAGE Publications ; 2021
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2675, No. 11 ( 2021-11), p. 669-684
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2675, No. 11 ( 2021-11), p. 669-684
    Abstract: In port areas, traffic is characterized by container trucks which run on diesel, while in urban areas it is characterized by private cars which run on petrol. The different fuels as pollution sources cause distinct particle pollution. This study offers an in-depth investigation of particle pollution and corresponding short-term exposures in port and urban areas. Field measurements were carried out to collect the data including particulate matter and traffic volume. Based on the data, firstly, the Pearson correlation analysis was performed to analyze the relationships between traffic volume and particles. Secondly, the Anderson–Darling test was adopted to identify the “best-fit” distributions on particles. Thirdly, comparisons of particle pollution levels in port and urban areas were analyzed. Finally, the pedestrian respiratory deposition doses of particles were estimated. The results indicate the importance and urgency of reducing air pollution, especially for port cities, and provide policymakers with a foundation for possible measures in the port city.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981211019041
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
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  • 6
    Online Resource
    Online Resource
    Determination of Flow Number in Asphalt Mixtures from Deformation Rate during Secondary State
    SAGE Publications ; 2011
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2210, No. 1 ( 2011-01), p. 106-112
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2210, No. 1 ( 2011-01), p. 106-112
    Abstract: Numerous research studies have been conducted on the connection between asphalt material properties and pavement performance. Asphalt mixture performance tests (AMPTs) have been part of these efforts in the past few years. One such test is the flow number test, the output of which is the flow number. Recent studies have found that flow number correlates well with the rutting potential of asphalt pavement. However, the current method used in AMPTs to examine the flow number also was highly sensitive to the variation of testing data (resulting in inaccurate flow number values) and time-consuming, especially when used on stiff asphalt mixtures. The main goal is to determine the flow number with the use of the deformation rate at the secondary state from the result of the flow number test. One hundred twenty-two flow number tests were conducted. A stepwise method was used to overcome variations in results from the flow number test. The flow number was determined with the stepwise method, then compared with the flow deformation rate. A strong correlation between flow number and deformation rate was found. Therefore, the deformation rate can be used to estimate flow number, which significantly reduces testing time. The proposed method also allows the flow number test to be terminated as soon as the permanent strain reaches 1.2%.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2210-12
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2011
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  • 7
    Online Resource
    Online Resource
    Integrated Herfindahl–Hirschman Index, Compromise Programming, and ε -Constraint Method For Multicriteria Performance-Based Transportation Budget Allocation
    SAGE Publications ; 2021
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2675, No. 10 ( 2021-10), p. 468-480
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2675, No. 10 ( 2021-10), p. 468-480
    Abstract: This paper introduces a new method for multicriteria performance-based transportation budget allocation. First, the Herfindahl–Hirschman Index (HHI) that has long been used in economics for measuring the level of monopolization in a marketplace is employed to derive the relative weights of multiple non-commensurable transportation performance criteria. Next, a compromise programming (CP) model is formulated to help transform the multicriteria optimization formulation for transportation budget allocation to a single-objective optimization model solvable by minimizing the Chebyshev distance to the ideal levels of performance targets associated with individual performance criteria. Finally, the ε-constraint trade-off analysis method is incorporated into the combined use of HHI and CP framework to iteratively derive the optimal decision outcome. Six-year data on candidate investment projects proposed for a U.S. state-maintained rural Interstate highway system along with data details of the available budget is used in a computational study for method application. Comparative analysis of decision outcomes is conducted with the STEP method for cross validation. It has revealed that the proposed HHI-CP ε-constraint method outperforms the existing method and can be adopted by state and local transportation agencies to carry out effective budget allocation.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981211011648
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
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