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  • Mobility and traffic research  (17)
  • 1
    Online Resource
    Online Resource
    Cluster-Based Hierarchical Model for Urban Transit Hub Location Planning : Formulation, Solution, and Case Study
    SAGE Publications ; 2009
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2112, No. 1 ( 2009-01), p. 8-16
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2112, No. 1 ( 2009-01), p. 8-16
    Abstract: A cluster-based hierarchical location model for the selection of the proper locations and scales of urban transit hubs was developed with the objective of minimizing the demand-weighted total travel time. As an improvement to previous work, the proposed model has the following unique features: ( a) it incorporates a hierarchical hub network topology that uses the concept of hub hierarchy establishment, route categorization, and service zone clustering to capture the critical operational issues for the transit network in an efficient manner and ( b) it extends the previous nonhierarchical model to account for the impacts of hubs with various hierarchies as well as their interactions with lane use restrictions. An enhanced set of formulations along with the linearization approach was used to reduce significantly the number of variables and the computing time required to achieve the global optimum. The results of a case study in Suzhou Industrial Park in China revealed that the proposed model and solution method are quite promising for use in the planning of hub locations for the transit network. Sensitivity analysis of the performance of the system was also done to assist planners with the selection of the hierarchical structure and the design of transit routes.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2112-02
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2009
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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  • 2
    Online Resource
    Online Resource
    Identification of Time-of-Day Breakpoints Based on Trajectory Data of Probe Vehicles
    SAGE Publications ; 2019
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2673, No. 5 ( 2019-05), p. 538-547
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2673, No. 5 ( 2019-05), p. 538-547
    Abstract: The time-of-day (TOD) mode is the most widely used strategy for traffic signal control with fluctuating flows. Most studies determine TOD breakpoints based on traffic volumes collected by infrastructure-based detectors (e.g., loop detectors). However, these infrastructure-based detectors have low coverage and high maintenance cost. With the deployment of probe vehicles, vehicle trajectory data has become available, providing a new data source for signal control. This paper proposes an approach to identify TOD breakpoints at an isolated intersection based on the trajectory data of probe vehicles, instead of conventional traffic volumes, with under-saturated traffic conditions. It is shown that the speeds of queueing shockwaves capture the characteristics of the traffic volumes according to the queueing shockwave theory. Data from multiple sampling days are aggregated to compensate for the limitations of low market penetration rates and long sampling intervals. Queue joining vehicles are then identified to obtain the speeds of queueing shockwaves. The bisecting K-means algorithm is applied to cluster periods, which are characterized by queueing shockwave speeds, to identify TOD breakpoints. The numerical studies validate that the speeds of queueing shockwaves capture the trend of traffic volumes. The clustering algorithm identifies the same TOD breakpoints for queueing shockwave speeds and traffic volumes. As long as the number of sampling days is large enough, the proposed method can handle low penetration rates (e.g., 2%) and long sampling intervals (e.g., 20 s), and thus achieve a comparable performance to the ideal conditions with high penetration rates (e.g., 100%) and short sampling intervals (e.g., 1 s).
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/0361198119840613
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 190260-X
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  • 3
    Online Resource
    Online Resource
    Laboratory Investigation of the Adhesion and Self-Healing Properties of High-Viscosity Modified Asphalt Binders
    SAGE Publications ; 2020
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2674, No. 1 ( 2020-01), p. 307-318
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2674, No. 1 ( 2020-01), p. 307-318
    Abstract: Water damage often occurs on porous asphalt pavement during service life because of the well-developed pore structure. Determining the adhesion and adhesion healing properties of high-viscosity modified asphalt (HVMA) under water condition is beneficial to understand the water damage process of porous asphalt. In this study, the modified binder bond strength test was first conducted to investigate the adhesion property and self-healing behavior of HVMA at different conditions. Then, the surface energy test was carried out to further characterize the differences in adhesion property of HVMA. Moreover, the gel permeation chromatography test and fluorescence microscopic test were used to investigate the influence of chemical composition and polymer morphology on the adhesion property of HVMA. Results show that the presence of water reduces the adhesion property of HVMA. The addition of polymers leads to an increasing adhesion strength and a decreasing self-healing ability of HVMA. The self-healing ability of HVMA improves with the increase of temperature, but also shows a decreased trend when the healing time is long at high-temperature water immersion. The effect of polymers on the adhesion property of asphalt has two aspects. First, the swelling of polymers leads to an increasing content of polar heavy components in HVMA, thus enhancing polarity adsorption between asphalt and aggregate. Moreover, a polymer-centered interfacial diffusion layer can be formed during the adsorption of light components, which increases the overlapping area of structural asphalt between adjacent aggregates. This can also improve the adhesion property at the asphalt–aggregate interface.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/0361198120902990
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 190260-X
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  • 4
    Online Resource
    Online Resource
    Velocity Obstacle-Based Collision Avoidance and Motion Planning Framework for Connected and Automated Vehicles
    SAGE Publications ; 2022
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2676, No. 5 ( 2022-05), p. 748-766
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2676, No. 5 ( 2022-05), p. 748-766
    Abstract: This study proposes a novel collision avoidance and motion planning framework for connected and automated vehicles based on an improved velocity obstacle (VO) method. The controller framework consists of two parts, that is, collision avoidance method and motion planning algorithm. The VO algorithm is introduced to deduce the velocity conditions of a vehicle collision. A collision risk potential field (CRPF) is constructed to modify the collision area calculated by the VO algorithm. A vehicle dynamic model is presented to predict vehicle moving states and trajectories. A model predictive control (MPC)-based motion tracking controller is employed to plan collision-avoidance path according to the collision-free principles deduced by the modified VO method. Five simulation scenarios are designed and conducted to demonstrate the control maneuver of the proposed controller framework. The results show that the constructed CRPF can accurately represent the collision risk distribution of the vehicles with different attributes and motion states. The proposed framework can effectively handle the maneuver of obstacle avoidance, lane change, and emergency response. The controller framework also presents good performance to avoid crashes under different levels of collision risk strength.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981211070286
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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  • 5
    Online Resource
    Online Resource
    Local Synchronization Control Scheme for Congested Interchange Areas in Freeway Corridor
    SAGE Publications ; 2009
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2128, No. 1 ( 2009-01), p. 173-183
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2128, No. 1 ( 2009-01), p. 173-183
    Abstract: Congestion that initiates at closely spaced highway junctions and intersections, particularly freeway interchange areas, may spread and severely degrade the operational efficiency of the whole network if not handled in a timely and proper manner. A local synchronization traffic control scheme is proposed to manage queues at those critical locations through coordination of neighboring intersection traffic signals and freeway on-ramp meters. By reducing the amount of traffic feeding into and increasing the amount of traffic discharging from heavily queued sections, the scheme can prevent a queue from evolving into gridlock and thus improve overall system performance. With the help of a network kinematic wave traffic flow model, the local synchronization scheme is implemented and tested on a computer for two sample networks, one small synthetic corridor network and one large, real corridor network. The numerical results indicate that this control scheme can improve the overall operational efficiency in both corridors considerably, with as much as 50% travel time savings. This control scheme appears to perform best under incident conditions and, somewhat surprisingly, compares favorably with a more complex global optimal control scheme.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2128-18
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2009
    detail.hit.zdb_id: 190260-X
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  • 6
    Online Resource
    Online Resource
    Evaluation of the Severity of Deadlock at a Signalized Intersection with Auxiliary Lanes Using Trajectory Data
    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: Intersection channelization and signal timing are important for mitigating traffic congestion in the urban transportation system. Most existing studies fail to quantitively evaluate the severity of deadlock caused by the mismatch between lane allocation and signal timing, especially at a channelized intersection with auxiliary lanes. This study proposes a new indicator —average unavailable time ratio (AUTR)—to quantitively evaluate the impacts of such deadlock on traffic operational efficiency at a channelized intersection with an auxiliary lane, based on trajectory data. Deadlock states are coded at the vehicle movement level and the state transition is analyzed with varying signal timings. They are classified into four types based on the evolution of queue length with different signal timings using discharging shockwaves. AUTR is calculated by constructing a spatiotemporal diagram using trajectory data, and simulation studies validate the effectiveness of the proposed indicator. The AUTR value has a strong positive correlation with vehicle travel time and queueing time caused by the deadlock and measures the severity of the deadlock. The storage length of the auxiliary lane has a greater impact on AUTR than the bay taper length. The impacts of lane allocation on the deadlock are affected by signal timings. This proposed method can effectively evaluate the rationality of lane allocation designs with auxiliary lanes given a signal timing scheme.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981241239659
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2024
    detail.hit.zdb_id: 190260-X
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  • 7
    Online Resource
    Online Resource
    Driver Back-Tracing Based on Automated Vehicle Identification Data
    SAGE Publications ; 2019
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2673, No. 6 ( 2019-06), p. 84-93
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2673, No. 6 ( 2019-06), p. 84-93
    Abstract: Traffic congestion causes traveler delay, environmental deterioration, and economic loss. Most studies on congestion mitigation focus on attracting travelers to public transportation and expanding road capacity. Few studies have been found to analyze the contribution of different traffic flows to the congestion on roads of interest. This study proposes an approach to driver back-tracing on the basis of automated vehicle identification (AVI) data for congestion mitigation. Driver back-tracing (DBT) aims to estimate the sources of the vehicles on roads of interest in both spatial and temporal dimensions. The spatial DBT model identifies the origins of vehicles on the roads and the temporal DBT model estimates the travel time from the origins to the roads. The difficulty lies in that vehicle trajectories are incomplete because of the low coverage of AVI detectors. Deep neural network classification and regression are applied to the spatial and temporal DBT models, respectively. Simulation data from VISSIM are collected as the dataset because of the lack of field data. Numerical studies validate the promising application and advantages of deep neural networks for the DBT problems. Sensitivity analyses show that the proposed models are robust to traffic volumes. However, turning ratios, and the number and layout of AVI detectors may have noticeable impacts on the model performance.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/0361198119844454
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 190260-X
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  • 8
    Online Resource
    Online Resource
    Trajectory Planning for Connected and Autonomous Vehicles at Freeway Work Zones under Mixed Traffic Environment
    SAGE Publications ; 2022
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2676, No. 10 ( 2022-10), p. 207-219
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2676, No. 10 ( 2022-10), p. 207-219
    Abstract: Mixed traffic control with connected and autonomous vehicles (CAVs) and human driving vehicles (HVs) is becoming a hot topic. CAV trajectory planning at work zones under the mixed traffic environment is a big challenge. Existing studies only focus on longitudinal trajectories (e.g., acceleration profiles), ignoring lateral trajectories (lane changing). This study proposes a trajectory planning model for CAVs at work zones under mixed traffic environment. Both longitudinal and lateral trajectories are considered. On the basis of the states of CAVs and of HVs observed by CAVs, the number and initial states of unobservable HVs in the planning horizon are estimated considering the interactions between vehicle driving behaviors. A trajectory planning model is then formulated to optimize acceleration profiles and lane choices of CAVs in the planning horizon in a centralized way. The minimization of total vehicle delay and fuel consumption is adopted as the objective function. A car-following model and a lane-changing model are adopted to capture the driving behaviors of HVs. The proposed model is a mixed-integer linear program. Numerical studies validate the advantages of the proposed trajectory planning model over late merge control for vehicle delay and fuel consumption.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981221088766
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 190260-X
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  • 9
    Online Resource
    Online Resource
    Characterization of Trip-Level Pace Variability Based on Taxi GPS Trajectory Data
    SAGE Publications ; 2017
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2667, No. 1 ( 2017-01), p. 51-60
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2667, No. 1 ( 2017-01), p. 51-60
    Abstract: Travel behavior researchers have observed that the average and standard deviations of trip pace (the inverse of speed) are linearly related. This paper further studies this relationship by using taxi GPS trajectory data collected in the city of Shenzhen, China, in eight periods between early 2013 and late 2015. When tested against the original linear relationship, the data demonstrated heteroscedasticity. To address that issue, a distance- or time-corrected variable was introduced into the original linear model. The resulting two models, along with the original linear model, were tested and compared. The results showed that ( a) the new linear model with the time-corrected pace variable (TCPV) demonstrated the best fit to data compared with the other models, ( b) the parameters of the TCPV model showed strong consistency for trips originating from similar areas with similar land use patterns, and ( c) the parameters of the TCPV model were relatively stable across different time periods.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2667-06
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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  • 10
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    Exploring Whether Managed Lanes Contribute to the Wide Adoption of the Connected and Autonomous Vehicles
    SAGE Publications ; 2023
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2677, No. 12 ( 2023-12), p. 343-358
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2677, No. 12 ( 2023-12), p. 343-358
    Abstract: The rapid development of connected and autonomous vehicle (CAV) technology and the outperformance of the managed lane have drawn increasing attention with respect to wonder whether the CAV operating in the managed lane is helpful. Therefore, this study focuses on the methodology applied to explore whether the managed lane is beneficial in the gradual application of CAVs. Three managed lanes are considered, namely a bus lane, CAV dedicated lane, and high-occupancy vehicle lane. Given the unfamiliarity with the travel mode related to CAVs, the attitudinal variables for CAVs and their influencing relationship are designed and quantified by a structural equation model based on the extended technology acceptance model. A two-level nested logit model with different types of managed lanes as explanatory variables is further developed to analyze the travel choice of traditional modes and CAV modes. The difference in probabilities of travel choices under managed lanes is also explored. The results indicate that the three managed lanes have a positive influence on promoting the adoption of the CAV modes, with an increase of at least 13.5% shifted from traditional modes in the conventional lane. Moreover, the influences of managed lanes differ between transit CAVs and non-transit CAVs. The probabilities of choosing transit CAVs under three managed lanes increase in the range of 12.9%–27.2%, while those of non-transit CAVs only show a maximum 6.5% increase in the CAV dedicated lane. The study is expected to assist in designing differentiated development of CAVs with the deployment of managed lanes.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981231168125
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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