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  • SAGE Publications  (4)
  • Ran, Bin  (4)
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  • SAGE Publications  (4)
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  • 1
    Online Resource
    Online Resource
    Location-Based Social Networking Data : Exploration into Use of Doubly Constrained Gravity Model for Origin–Destination Estimation
    SAGE Publications ; 2014
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2430, No. 1 ( 2014-01), p. 72-82
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2430, No. 1 ( 2014-01), p. 72-82
    Abstract: Trip distribution is an invaluable portion of the transportation planning process; this distribution leads to the creation of origin–destination (O-D) matrices. Location-based social networking (LBSN) has increased in popularity and sophistication and has emerged as a new travel demand data source. Users of LBSN provide location-sensitive data interactively with mobile devices, including smartphones and tablets. These data can provide O-D estimates with significantly higher temporal resolution at a much lower cost in comparison with traditional methods. An LBSN O-D estimation model based on the doubly constrained gravity model was proposed to improve a previously proposed model based on the singly constrained gravity model. The proposed methodology was calibrated and comparatively evaluated against the O-D matrix generated by the method based on the singly constrained gravity model as well as a reference matrix from the local metropolitan planning organization. The results of this method illustrate significant improvement in reducing the O-D estimation errors caused by the sampling bias from the method based on the singly constrained gravity model.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2430-08
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Bidirectional Control Characteristics of General Motors and Optimal Velocity Car-Following Models : Implications for Coordinated Driving in a Connected Vehicle Environment
    SAGE Publications ; 2013
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2381, No. 1 ( 2013-01), p. 110-119
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2381, No. 1 ( 2013-01), p. 110-119
    Abstract: In natural traffic flow, the information from preceding vehicles predominantly determines driver behavior. With connected vehicle technologies, drivers can receive information from both preceding and following vehicles. This information creates new opportunities for vehicle coordination and control at the microscopic level on the basis of bidirectional information. Although bidirectional car-following models have been studied since the 1960s, most existing car-following models, especially those used by adaptive cruise control technologies, are still forward-only car-following models. This paper serves as a first step toward the use of bidirectional car-following models for microscopic vehicle coordination and control. The focus is on the study of the models' general control characteristics and impact on traffic flow stability. A general bidirectional control framework is proposed to convert any car-following model into its bidirectional form. Four representative General Motors and optimal velocity car-following models are reformulated and calibrated against field vehicle trajectory data collected in the next-generation simulation program (NGSIM). The bidirectional control characteristics of the selected models were evaluated by tuning of the percentage of backward information considered in the final car-following decision. The evaluation uses forward versus backward acceleration diagrams and a ring road stability analysis of equilibrium states obtained from NGSIM data. The results indicate that the increase in the contribution of backward information may help alleviate traffic congestion and stabilize traffic flow. An operating range of the backward information contribution of between 5% and 20% is recommended to ensure that the resulting models are still physical and realistic for both free-flow and congestion situations.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2381-13
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Speed Synchronization Process of Merging Vehicles from the Entrance Ramp : Empirical Analysis
    SAGE Publications ; 2013
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2391, No. 1 ( 2013-01), p. 11-21
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2391, No. 1 ( 2013-01), p. 11-21
    Abstract: This paper explores the “lane-changing preparation process,” defined as the synchronization process, from a new, integrated perspective. A comprehensive study was conducted to analyze the behavioral characteristics of the speed synchronization process of merging vehicles from entrance ramps by tracking their trajectories in the merge lanes. On the basis of gap selection, merging vehicles were classified as either original gap type or overtaking type, and the existence of speed synchronization was proved by comparing the speed differences of merging vehicles in relation to the putative leader (PL) and the putative follower (PF) vehicles. Several rules of merging vehicles during speed synchronization were established in the behavioral study. The merging vehicles tended to maintain a speed 5 to 7 m/s higher than the speed of the PL so as to overtake unsatisfied gaps in the adjacent through lane. When those vehicles intended to accept a gap, they first adjusted their speeds to be within a 2-m/s difference from their PL and PF vehicles and then merged into the targeted gap within 2 to 3 s. Factors affecting drivers' tolerance of their speed with PL and PF vehicles were modeled with the multiregression method. Significant effects in speed synchronization include the number of rejected gaps, acceleration or deceleration, the speed difference between the PL and the PF, the time headway, the remaining distance in the auxiliary lane, and whether the PL is a merged vehicle. Results from this study may contribute to the understanding of the complex lane-changing behavior in microscopic traffic flow modeling.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2391-02
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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    Online Resource
  • 4
    Online Resource
    Online Resource
    Modeling Vehicle Interactions during Merge in Congested Weaving Section of Freeway Ramp
    SAGE Publications ; 2014
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2421, No. 1 ( 2014-01), p. 82-92
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2421, No. 1 ( 2014-01), p. 82-92
    Abstract: One major limitation of existing microscopic traffic simulation models is the lack of data about vehicle interactions during the lane-changing process in congested merging areas. The interactions between vehicles during lane changing in the congested weaving sections are quantified. A series of acceleration-deceleration models was developed for the merging vehicle, its putative leader (PL), and its putative follower (PF). After US-101 data were analyzed, the yielding behavior of the merging vehicle's PL for merging cooperation and the lateral separation between vehicles in the weaving section (features largely ignored in previous research) were introduced into the proposed acceleration—deceleration models, and visual angle data were used as the stimuli to reflect the influence of longitudinal and lateral vehicle movements. Car-following behavior was incorporated into the model (e.g., the PF gradually changed its car-following leader from the PL to the merging vehicle, dependent on relative vehicle locations). Calibrated and validated with FHWA's next generation simulation (NGSIM) program trajectory data, the proposed acceleration-deceleration models could qualitatively simulate the behavior of drivers in lane-changing maneuvers with acceptable training and testing errors. To verify the cooperative behavior of the PL in lane changing, the proposed PL acceleration-deceleration model was compared with a base car-following model. Results indicate that incorporating the effects of the merging vehicle on the PL can enhance the realism of a lane-changing model. Findings from this study can contribute to the understanding of interactions between vehicles during complex lane-changing processes.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2421-10
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
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    Online Resource
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