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  • SAGE Publications  (3)
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  • SAGE Publications  (3)
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  • 1
    Online Resource
    Online Resource
    Multiclass Stochastic User Equilibrium Model with Elastic Demand : Considering Systematic and Accidental Delays
    SAGE Publications ; 2015
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2497, No. 1 ( 2015-01), p. 1-11
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2497, No. 1 ( 2015-01), p. 1-11
    Abstract: This paper proposes a multiclass, multidelay stochastic user equilibrium model with elastic demand (MC-MDSUE-ED) that explicitly considers both systematic delay and accidental delay in the route choice decision process. This new model hypothesizes that for each user class and each origin–destination (O-D) pair, no traveler can reduce his or her “multi-delay travel time,” defined as the systematic delay plus accidental delay, by unilaterally changing paths. The actual travel demand for each user class between each O-D pair satisfies its elastic demand function. Travel time budget and robust optimization theory are used to compute the systematic delay and accidental delay, respectively. The MC-MDSUE-ED conditions compose a cobweb model. A self-adaptive bisection algorithm that converts the problem with elastic demand to a series of problems with fixed demand was developed for solving the cobweb model. A path-based quasi method of successive averages was used to solve the MC-MDSUE model with fixed demand. Numerical examples illustrate the essential ideas of the proposed model and the applicability of the proposed solution algorithm.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2497-01
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2403378-9
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Identification of Network Sensor Locations for Estimation of Traffic Flow
    SAGE Publications ; 2014
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2443, No. 1 ( 2014-01), p. 32-39
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2443, No. 1 ( 2014-01), p. 32-39
    Abstract: This paper addresses the network sensor location problem (NSLP) for identifying the set of sensor locations that minimizes the variability in estimation of traffic flow given budget constraints. The trace of the covariance matrix is adopted as a measure of variability in traffic flow. On the basis of the trace of the covariance matrix in the posterior estimation of traffic flow conditional on a given set of sensor locations, the general form of the NSLP is derived. As an illustration, the multivariate normal distribution for the prior estimation of traffic flow is assumed. In this case, the actual value of the counted flows is not required. Furthermore, an incremental method that can avoid matrix inversion and give priorities of the identified sensor locations is presented to solve the NSLP. Finally, a numerical example based on the Nguyen–Dupuis network illustrates the NSLP approach and clarifies some of its implementation details.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2443-04
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 2403378-9
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  • 3
    Online Resource
    Online Resource
    Game Theory Based Energy-Aware Uplink Resource Allocation in OFDMA Femtocell Networks
    SAGE Publications ; 2014
    In:  International Journal of Distributed Sensor Networks Vol. 10, No. 3 ( 2014-03-01), p. 658158-
    Details
    In: International Journal of Distributed Sensor Networks, SAGE Publications, Vol. 10, No. 3 ( 2014-03-01), p. 658158-
    Abstract: Femtocell is a promising technique not only in operator networks but also in having potential applications for industrial wireless sensor networks. In this paper, we investigate energy efficient uplink power control and subchannel allocation in two-tier femtocell networks. Taking transmit power and circuit power into account, we model the power control and subchannel allocation problem as a supermodular game to maximize energy efficiency of femtocell users. To reduce the cochannel interference from femtousers to neighboring femtocells and macrocells, we introduce a convex pricing scheme to curb their selfish behavior. We decompose the resource allocation problem into two subproblems, that is, a distributed subchannel allocation scheme and a distributed power control scheme to reduce costs and complexity. Simulation results show that the proposed algorithm can improve user utilities significantly, compared with existing power control and subchannel allocation algorithms.
    Type of Medium: Online Resource
    ISSN: 1550-1477 , 1550-1477
    URL: Article
    DOI: 10.1155/2014/658158
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 2192922-1
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