GLORIA

GEOMAR Library Ocean Research Information Access

X

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Wang, Wei  (5)
  • Mobility and traffic research  (5)
Material
Publisher
Person/Organisation
Language
Years
FID
  • Mobility and traffic research  (5)
  • 1
    Online Resource
    Online Resource
    Using Trajectory Data to Analyze Intradriver Heterogeneity in Car-Following
    SAGE Publications ; 2010
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2188, No. 1 ( 2010-01), p. 85-95
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2188, No. 1 ( 2010-01), p. 85-95
    Abstract: This paper presents a methodology for using vehicle trajectory data to study the intradriver heterogeneity of driving behavior between the acceleration process and the deceleration process. Trajectory data were collected during peak hours on Dutch Motorway A2. Criteria were proposed for the selection of subtrajectories corresponding to both the acceleration and the deceleration processes of car-following. With the application of these subtrajectories to calibrate three types of models (the Helly model, the Gipps model, and the intelligent driver model), it was found that obvious intradriver heterogeneities existed in driving behaviors between the acceleration and deceleration processes of car-following: (a) the average response time of drivers in the acceleration process was longer than that in the deceleration process according to the prediction of the Helly and intelligent driver models; (b) drivers were apt to respond more intensively to surrounding traffic in the deceleration process than they did in the acceleration process; and (c) more than 65% of drivers involved in this study drove in obviously different styles between the acceleration and deceleration processes. Moreover, a compensation for the response delay from model parameters was observed, and all three models presented low robustness in predicting driving behaviors of one car-following process with the parameters optimized from the data of other car-following processes. This work not only provides insight into intradriver heterogeneity in car-following behaviors but also suggests some important criteria for car-following modeling.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2188-10
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2010
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 2
    Online Resource
    Online Resource
    General Newell Model and Related Second-Order Expressions
    SAGE Publications ; 2011
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2260, No. 1 ( 2011-01), p. 42-49
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2260, No. 1 ( 2011-01), p. 42-49
    Abstract: A general Newell model that considers the anticipation behaviors of drivers is presented. The model contains a new parameter called the anticipation factor. Three types of car-following models are derived from the general Newell model as second-order expressions. Two types of derived models are consistent with the full velocity difference model. All three types of derived models can be transformed to the optimal velocity model when the anticipation factor equals zero. It is found that the speed difference term in the full velocity difference model reflects the anticipation behaviors of drivers. The vehicle trajectory data of the Dutch A2 motorway are used to calibrate the models. The results of model calibrations are the basis for investigation of the distributions of the time lag and the anticipation factor among the driver population. The parameters of the three proposed models present good correlations between each other. A numerical simulation is conducted to explore the properties of the proposed models when applied in the adaptive cruise control system. Both the proposed Type I model (the full velocity difference model) and the proposed Type III model present good performance in controlling vehicles moving along the optimal trajectory, especially when the anticipation factors of the models are set to one.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2260-05
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2011
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 3
    Online Resource
    Online Resource
    Experimental Features and Characteristics of Speed Dispersion in Urban Freeway Traffic
    SAGE Publications ; 2007
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 1999, No. 1 ( 2007-01), p. 150-160
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 1999, No. 1 ( 2007-01), p. 150-160
    Abstract: Characteristics of speed dispersion in urban freeway traffic are presented. Two definitions of speed dispersion are proposed: the standard deviation of the individual speeds and the average speed difference of two neighboring vehicles. On the basis of the definitions, traffic data obtained from two urban freeways in China are studied, and different characteristics of speed dispersion are found in four substates of traffic flow, which correspond to four regions in the empirical fundamental diagram. In the bunching state of congested traffic, the flow rate decreases with an increase in speed dispersion at a given mean speed. In the bunching state of fluid traffic, the speed dispersion of traffic flow is small, and in the free state of fluid traffic, speed dispersion is distributed in a disorderly manner in a wide range. Such phenomena are more remarkable under the definition of the average speed difference for speed dispersion. In addition, some possible explanations are presented for the characteristics of speed dispersion in each traffic substate. These speed dispersion studies provide a new approach for microscopic modeling and understanding of traffic flow characteristics.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/1999-16
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2007
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 4
    Online Resource
    Online Resource
    Analyzing Travelers’ Intention to Accept Travel Information : Structural Equation Modeling
    SAGE Publications ; 2010
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2156, No. 1 ( 2010-01), p. 93-100
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2156, No. 1 ( 2010-01), p. 93-100
    Abstract: Advanced traveler information systems (ATIS) cannot improve the traffic environment if travelers do not accept the travel information provided by the system. To understand better why travelers accept or refuse travel information and to explain, predict, and increase travelers’ acceptance of travel information, a research framework based on the technology acceptance model is developed to establish the relationship between travelers’ intention to accept travel information, trust in travel information, perceived usefulness of travel information, perceived ease of its use, and other related variables. Then structural equation modeling is used to examine and analyze the relationship among these variables. The results show that the factors that significantly determine travelers’ intention to accept travel information are trust in travel information, its perceived usefulness, its perceived ease of use, and information attributes. Through an examination of the direct, indirect, and total effects in the model system, it is discovered that perceived ease of use has the largest total effect on intention to accept by a standardized coefficient of 0.522, followed by trust in information (0.348), perceived usefulness (0.199), and information attributes (0.079). These results indicate the practical value of the estimated model for guiding recommendations aimed at increasing travelers’ intention to accept travel information and at improving the service quality of travel information in China.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2156-11
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2010
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 5
    Online Resource
    Online Resource
    Same-Day Mode Choice Modeling with Household Vehicle Usage Simulation in Developing Countries
    SAGE Publications ; 2011
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2239, No. 1 ( 2011-01), p. 23-33
    Details
    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
    URL: Article
    DOI: 10.3141/2239-04
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2011
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...