A Decision Support Model for Transportation Companies to Examine Driver Behavior

Čubranić-Dobrodolac, Marjana; Švadlenka, Libor; Marković, Goran Z.; Dobrodolac, Momčilo

doi:10.1109/tem.2021.3102879

Cited by 4 publications

(1 citation statement)

References 52 publications

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“…Dial-a-ride, for example, has added service emphasis of a bounded time window, trip duration, and vehicle capacity to assure the user. Therefore, applying such service emphases to the IPT segment can unlock a newer agenda, such as the IPT vehicle routing problem (extending the dial-a-ride problem) based on exact algorithms and metaheuristics ( 34 , 35 ). The key aspect of uncovering would involve weaving business models based on diverse IPT modes and variables such as heterogenous fleet of vehicles, stochastic demand patterns, or special user needs.…”

Section: Critical Conceptual Synthesis Of the Thematic Landscapementioning

confidence: 99%

Unpacking Service Management Issues in Intermediate Public Transportation Toward Sustainable Mobility

Bhuyan,

Roy,

Srivastava

2023

Transportation Research Record: Journal of the Transportation R

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How can intermediate public transportation (IPT) benefit from a service management emphasis to envision the sustainable mobility of the future? Answering this question, this paper reviews IPT, which includes modes such as the Access Link and Kutsuplus schemes, auto-rickshaws, and e-bike taxis. These modes represent new mobility services that have emerged in both developed and developing countries in the wake of evolving travel demands, soaring private vehicle ownership, and declining public transit ridership. Despite the emerging nature of IPT, however, it remains underrepresented and poorly understood in transportation frameworks, and so is generally excluded from transportation reforms. With this premise, this review accentuates how IPT services can be improved and made more attractive to users by mainstreaming service management issues. Further, this review outlines how improvement of IPT can help in unlocking the sustainable mobility of the future. This research therefore stems from a multidisciplinary review set involving scholarship in engineering management, operations management, operations research, transportation engineering, and transportation management. The paper outlines diverse facets of service management from which IPT can benefit. Furthermore, the paper theorizes on how IPT can contribute to sustainable mobility.

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Section: Critical Conceptual Synthesis Of the Thematic Landscapementioning

confidence: 99%

Unpacking Service Management Issues in Intermediate Public Transportation Toward Sustainable Mobility

Bhuyan,

Roy,

Srivastava

2023

Transportation Research Record: Journal of the Transportation R

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A bee colony optimization (BCO) and type-2 fuzzy approach to measuring the impact of speed perception on motor vehicle crash involvement

et al. 2021

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A Bee Colony Optimization (BCO) and Type-2 Fuzzy Approach to Measuring the Impact of Speed Perception on Motor Vehicle Crash Involvement

Čubranić-Dobrodolac

Švadlenka

Čičević

et al. 2021

Preprint

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This paper examines how a driver’s perception of various speed levels, as well as driver’s speed perception from different positions, affect the propensity for motor vehicle crashes (MVCs). Data collection is performed in twelve experiments. 178 young drivers assessed the speed level from four positions; three of them relate to the speed perception of other vehicles on the road, while the remaining one represents the assessment of own speed. At each position, three speed levels were assessed: 30, 50, and 70 km/h. To process data, seven Type-2 fuzzy inference systems (T2FISs) are designed and tested in a sense of compliance with the empirical data. As a result, a relationship between the various forms of speed perception and participation in MVCs can be quantified. To examine the initial conclusions, the optimization of each of these T2FISs is performed by implementing the bee colony optimization (BCO) metaheuristic. The BCO based algorithm proposed in this paper achieved an average improvement of 21.17% in the performance of the initial T2FIS structures. The final results indicate that the drivers whose speed perception of the vehicle they are looking at from the rear side, as well as of the own vehicle, is poor have an elevated risk toward participation in MVCs compared to other forms of speed perception. The best-found T2FIS structures can be used as a decision-making tool that quantifies the driver propensity for MVCs, which can be useful in various educational and recruitment procedures in the field of transportation and traffic safety.

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A Decision Support Model for Transportation Companies to Examine Driver Behavior

Cited by 4 publications

References 52 publications

Unpacking Service Management Issues in Intermediate Public Transportation Toward Sustainable Mobility

Unpacking Service Management Issues in Intermediate Public Transportation Toward Sustainable Mobility

A bee colony optimization (BCO) and type-2 fuzzy approach to measuring the impact of speed perception on motor vehicle crash involvement

A Bee Colony Optimization (BCO) and Type-2 Fuzzy Approach to Measuring the Impact of Speed Perception on Motor Vehicle Crash Involvement

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