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Estimating Road Traffic Capacity

Makki, A, Nguyen, TT, Ren, J, Al-Jumeily, D and Hurst, W Estimating Road Traffic Capacity. IEEE Access. ISSN 2169-3536 (Accepted)

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Abstract

This paper proposes a novel passenger car equivalent and capacity estimation methods that determine the effect of deceleration and acceleration performance of heavy goods vehicles on the traffic flow and estimate the capacity to facilitate rescheduling container carriers. The development of the new methods considers the driver’s perception of time and braking competency level, and the out of the box vehicle displacement approach. The safety gap between the following and leading vehicle should provide sufficient time and space for the driver to bring the vehicle safely to a standstill, to prevent accidents and facilitate enough space for maneuvering. As a case study, the authors have collected and utilized the automatic traffic counters data and the average annual daily flow data from manual counting for the road connecting the Liverpool containership port with North-West England and the rest of the UK. However, the capacity estimation method is suitable for all urban roads and streets that have controlled intersections in the UK and the USA. The authors have found that the passenger car equivalent method is directly proportional to the vehicle’s speed, and gross mass and the capacity method is inversely and directly proportional to perception time and braking competency level, respectively. Also, building an extra lane will allow meeting the ports targets.

Item Type: Article
Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: 08 Information and Computing Sciences, 09 Engineering, 10 Technology
Subjects: H Social Sciences > HE Transportation and Communications
Divisions: Computer Science & Mathematics
Engineering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date Deposited: 16 Nov 2020 11:38
Last Modified: 16 Nov 2020 11:38
URI: https://researchonline.ljmu.ac.uk/id/eprint/14009

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