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  • Mobility and traffic research  (22)
  • 1
    Online Resource
    Online Resource
    Evaluation of Link Criticality for Day-to-Day Degradable Transportation Networks
    SAGE Publications ; 2012
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2284, No. 1 ( 2012-01), p. 117-124
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2284, No. 1 ( 2012-01), p. 117-124
    Abstract: The evaluation of link criticality is an important step for public officials to apply when planning hazard mitigation. However, this type of analysis presents numerous challenges for capturing the impact of highly stochastic hazard events accurately. An analytical framework and an efficient solution procedure for the evaluation of link criticality are proposed: those tools consider the impact of day-to-day degradable conditions in transportation networks. Link capacity was examined as a multistatus variable, and a sampling technique was used to generate realizations of capacity value for transportation networks. With different capacity realizations, traffic demand was repeatedly assigned on the regional planning model network. The assignment results were measured with multiple criteria and analyzed with several statistical indices. A case study based on a section of the New Jersey roadway network verified the proposed approach.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2284-14
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2012
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  • 2
    Online Resource
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    Modeling Risky Driver Behavior Under the Influence of Flashing Green Signal with Vehicle Trajectory Data
    SAGE Publications ; 2016
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2562, No. 1 ( 2016-01), p. 53-62
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2562, No. 1 ( 2016-01), p. 53-62
    Abstract: In China, a 3-s flashing green (FG) indication followed by a 3-s yellow (Y) indication is commonly applied to end the green phase at signalized intersections regardless of speed limits. Past research has indicated that the FG may bring more uncertainty and dynamics to drivers’ stop–go decisions at the end of the green phase, particularly at high-speed intersections. Hence, the objective of this study was to propose a probabilistic model for interpreting drivers’ dynamic decision-making processes in response to the combination of FG and Y at rural high-speed intersections, which could help quantitatively analyze the safety effects of FG. The inputs of the proposed model included mainly the acceleration and deceleration rate and the perception-and-reaction time. The outputs were the frequencies of risky behavior, including abrupt stop and aggressive pass on the basis of the cycle. The trajectories of 1,186 vehicles, collected at three rural high-speed intersections in Shanghai, China, with a speed limit of 80 km/h were used for the uncertainty analysis of input variables and model validation. On the basis of the proposed model, three typical scenarios of phase transition periods—3-s FG + 3-s Y, 0-s FG + 5-s Y, and 0-s FG + 3-s Y—were valuated. Results showed that the proposed model was capable of producing an average error of less than 10%. In addition, the scenario of 0-s FG + 5-s Y performed best in reducing risky behavior. It is recommended that a 5-s Y be implemented for high-speed intersections when most of the traffic consists of passenger cars.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2562-07
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2016
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  • 3
    Online Resource
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    Deep Learning-Based Lane Marking Detection using A 2 -LMDet
    SAGE Publications ; 2020
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2674, No. 11 ( 2020-11), p. 625-635
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2674, No. 11 ( 2020-11), p. 625-635
    Abstract: Automated lane marking detection is essential for advanced driver assistance system (ADAS) and pavement management work. However, prior research has mostly detected lane marking segments from a front-view image, which easily suffers from occlusion or noise disturbance. In this paper, we aim at accurate and robust lane marking detection from a top-view perspective, and propose a deep learning-based detector with adaptive anchor scheme, referred to as A 2 -LMDet. On the one hand, it is an end-to-end framework that fuses feature extraction and object detection into a single deep convolutional neural network. On the other hand, the adaptive anchor scheme is designed by formulating a bilinear interpolation algorithm, and is used to guide specific-anchor box generation and informative feature extraction. To validate the proposed method, a newly built lane marking dataset contained 24,000 high-resolution laser imaging data is further developed for case study. Quantitative and qualitative results demonstrate that A 2 -LMDet achieves highly accurate performance with 0.9927 precision, 0.9612 recall, and a 0.9767 [Formula: see text] score, which outperforms other advanced methods by a considerable margin. Moreover, ablation analysis illustrates the effectiveness of the adaptive anchor scheme for enhancing feature representation and performance improvement. We expect our work will help the development of related research.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/0361198120948508
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
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  • 4
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    Optimization for the Multiday Urban Personalized Trip Design Problem With Time Windows and Transportation Mode Recommendations
    SAGE Publications ; 2023
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2677, No. 5 ( 2023-05), p. 1349-1366
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2677, No. 5 ( 2023-05), p. 1349-1366
    Abstract: The urban tourism market has been increasingly dominated by the demand for personalized experiences. This paper focuses on the multiday urban personalized trip design problem considering the time windows and transportation mode recommendations (MUPTDP-TW-TMR). A two-stage methodology is proposed to solve this problem. In the first stage, a linear programming model for the multiday urban personalized trip design problem with time windows (MUPTDP-TW) is proposed. A modified memetic algorithm (MMA) is devised to solve it, containing efficient operators. In the second stage, a novel transportation mode recommendation model is developed, which considers the diversity of tourist preferences. A modified label-setting algorithm is applied to solve the model. The data from Chongqing, the most popular city in Southwest China, are collected to evaluate the performance of our approach. The case study based on tourist and popular preferences is conducted. Compared with the state-of-the-art algorithms, the experimental results show that our approach can design more reasonable and personalized itineraries for tourists.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981221143116
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
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  • 5
    Online Resource
    Online Resource
    Effects of Personal Factors on Bicycle Commuting in Developing Countries : Case Study of Nanjing, China
    SAGE Publications ; 2010
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2193, No. 1 ( 2010-01), p. 96-104
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2193, No. 1 ( 2010-01), p. 96-104
    Abstract: This paper focuses on an analysis of personal factors that affected people's decisions to bicycle for commuting trips. Factors investigated included commuter demographic characteristics, perceived benefits, and trip distance. With samples collected in a commuter survey in Nanjing, China, the odds ratio statistics were developed to analyze the effect of each factor separately. Two latent variables that implied commuter socioeconomic status and perceived benefits were obtained by the factor analysis method. On the basis of the results of the factor analysis, a binomial logit model with the latent variable enriched was developed to describe how the factors influenced commuter choices. For comparison purposes, a binomial logit model without a latent variable was also developed. Both models offered some important insights into the effects of personal factors on bicycle commuting. The findings were (a) trip distance and perceived benefits had significant effects on bicycle usage; (b) socioeconomic status was negatively correlated with bicycle commuting; (c) gender and age had no significant effects on bicycle commuting; (d) commuters cared more about rapidity and convenience than safety and comfort; and (e) automobile availability for a trip was negatively correlated with bicycle commuting. These results have some policy implications for urban transportation planning.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2193-12
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2010
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  • 6
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    Development of a Model for Freeway Green Landscape Evaluation
    SAGE Publications ; 2007
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2025, No. 1 ( 2007-01), p. 63-71
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2025, No. 1 ( 2007-01), p. 63-71
    Abstract: The freeway green landscape is an important part of freeway systems, as the landscape provides a scenic view and performs other functions, such as preventing glare in median areas, enhancing a soil stability in slope embankment areas, and protecting ecology in roadside areas. Traditionally, the green landscape has been evaluated on the basis of the quality of the scenic view without consideration of the functional quality. This paper summarizes a research project to develop procedures and models for the evaluation of the freeway green landscape. The main evaluation indices considered in the evaluation procedures and models are the antiglare capability in median areas, the enhancement of soil stability in slope embankment areas, and the protection of ecology in roadside areas. In addition, quality of the landscape scenic view is another important factor that affects green landscape quality. The main purpose of the models is to convert evaluation indices to an overall quality measure that represents the overall quality of the freeway green landscape. The conversion is based on multivariable regression models and expert opinion survey models. Field data were collected by field survey-ors, who collected index data and a panel that provided subjective ratings of the green landscape in the median, slope embankment, and roadside areas. Both data sets were used for regression analysis and modeling purposes. Conversely, an expert opinion survey was conducted to obtain subjective opinions on the model weights. The models developed were validated by objective and subjective methods. The validation results show a strong correlation between the subjective evaluation and the objective evaluation: the models are effective and reasonable. In the past 18 months, these models have been used in practical applications, and the models' good applicability has been proved.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2025-06
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2007
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  • 7
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    Online Resource
    Observations and Analysis of Multistep-Approach Lane Changes at Expressway Merge Bottlenecks in Shanghai, China
    SAGE Publications ; 2013
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2395, No. 1 ( 2013-01), p. 73-82
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2395, No. 1 ( 2013-01), p. 73-82
    Abstract: One major cause of accidents at signalized intersections is vehicles running the red light. To discourage red light running, many authorities have installed red light cameras. From numerous field observations at two expressway merge bottlenecks, this paper identifies and studies a peculiar type of lane change, referred to as the multistep-approach lane change (MALC). The characteristics and detailed maneuvers of the MALC are first described and compared with three traditional types of lane changes (normal, cooperative, and forced). Next, descriptive parameters, such as the lane-changing duration and velocity and the number of affected vehicles, are investigated and analyzed during the transline ride (TLR) period. The parameters are taken from 132 sets of vehicle trajectory data collected at two merge bottlenecks in Shanghai, China. Significant differences are found between the MALC and traditional lane changes: the MALC takes longer to complete (10 s on average), involves lower lane-changing velocity (15 km/h on average during the TLR period), and affects more vehicles (six vehicles on average). As such, the MALC poses more disruptive influences on the traffic flow and could explain the occurrences of rapid drops in capacity at expressway merge bottlenecks.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2395-09
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
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  • 8
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    Fuzzy Programming Approach for the Electric Multiple Unit Circulation Planning Problem Using Simulated Annealing
    SAGE Publications ; 2022
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2676, No. 7 ( 2022-07), p. 456-467
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2676, No. 7 ( 2022-07), p. 456-467
    Abstract: Circulation planning for electric multiple units (EMUs) is regarded as one of the key operation issues for a high-speed railway transportation system. The EMU circulation plan consists of determining the connections of trains while accomplishing the passengers’ demands. EMUs need regular maintenance at a certain interval of kilometers or minutes for safety reasons. Consequently, the circulation plan must ensure that EMU trains can reach the maintenance depots in time for their required maintenance. This paper proposes a 0-1 integer programming model for the EMU circulation plan with the aim of minimizing the total costs of the mileage losses of the EMUs, which is incurred when they undergo a maintenance check before the corresponding travel mileage reaches the limit of the cycle. Given that the accumulated travel mileage of EMUs is allowed to be 10% above the standard mileage cycle in practice, an ingenious fuzzy maintenance constraint is presented to tackle the mileage cycle constraint with a certain elasticity. The exterior penalty function is employed to deal with the fuzzy constraint and a simulated annealing (SA) heuristic is employed to solve the model. The modeling and solving approach are applied to a practical instance in the context of China’s high-speed railway system. Compared with the average travel mileage of EMU trains using the manual solution, with the SA solution an increase of 293 km was observed. It can be then concluded that the optimization method presented in this paper can effectively improve the quality of the EMU circulation plan.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981221078848
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
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  • 9
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    Empirical Evacuation Response Curve during Hurricane Irene in Cape May County, New Jersey
    SAGE Publications ; 2013
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2376, No. 1 ( 2013-01), p. 1-10
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2376, No. 1 ( 2013-01), p. 1-10
    Abstract: Understanding evacuation response behavior is critical for public officials in deciding when to issue emergency evacuation orders for an impending hurricane. Such behavior is typically measured by an evacuation response curve that represents the proportion of total evacuation demand over time. This study analyzes evacuation behavior and constructs an evacuation response curve on the basis of traffic data collected during Hurricane Irene in 2011 in Cape May County, New Jersey. The evacuation response curve follows a general S-shape with sharp upward changes in slope after the issuance of mandatory evacuation notices. These changes in slope represent quick response behavior, which may be caused in part by an easily mobilized tourist population, lack of hurricane evacuation experience, or the nature of the location, in this case a rural area with limited evacuation routes. Moreover, the widely used S-curves with different mathematical functions and the state-of-the-art behavior models are calibrated and compared with empirical data. The results show that the calibrated S-curves with logit and Rayleigh functions fit empirical data better. The evacuation behavior analysis and calibrated evacuation response models from this hurricane evacuation event may benefit evacuation planning in similar areas. In addition, traffic data used in this study may also be valuable for the comparative analysis of traffic patterns between the evacuation periods and regular weekdays and weekends.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2376-01
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
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  • 10
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    Analyzing Passenger Travel Demand Related to the Transportation Hub inside a City Area using Mobile Phone Data
    SAGE Publications ; 2018
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2672, No. 50 ( 2018-12), p. 23-34
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2672, No. 50 ( 2018-12), p. 23-34
    Abstract: The passenger transportation hub plays a crucial role in the urban transportation system. Analyzing transportation hub related travel demand is necessary to support urban transportation planning and management. However, it is difficult to use the traditional travel survey methods to study travel demand because tracking passenger travel trajectories is a near impossible task. The location information from the cellular system provides a feasible way to solve the problem. This paper concentrates on applying mobile phone data to study passenger travel demand related to the Hongqiao transportation hub in Shanghai, China. First, a method is introduced to collect passenger travel information related to the hub from mobile phone data. Then, travel demand indexes are presented to characterize the travel demand in a visual way. Finally, transportation corridors, which connect the hub and other urban areas, are identified to analyze the distribution of travel demand more thoroughly. The results illustrate that the passenger travel demand shows an obvious tide pattern in the city area with the Hongqiao transportation hub as the center. Moreover, there are two identified transportation corridors which reveal the major distribution directions of the passengers, that is, the city center and the Zizhu industrial development zone. The approach in this study testifies that mobile phone data has great potential for transportation planning and management related to transportation hubs.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/0361198118774671
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
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