Multi-Criteria Decision-Making for Sustainable Transport: A Case Study on Traffic Flow Prediction Using Spatial–Temporal Traffic Sequence

Jayanthi Ganapathy ()
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Jayanthi Ganapathy: Sri Ramachandra Institute of Higher Education and Research

A chapter in Sustainability, 2023, pp 143-166 from Springer

Abstract: Abstract Traffic flow on highways exhibits a dynamic phenomenon in different operational settings. The concept of sustainability in transportation engineering is elucidated using multi-criteria decision-making analysis (MCDA), a discipline of Operation Research (OR) which is in a wide range of applications and practices in real-time traffic engineering. The principle criteria considered in the study of short-term prediction of traffic flow rate are spatial and temporal information. The spatial–temporal components of physical traffic flow are the parametric measures. Exploring the intrinsic relationship between these measures helps in realizing the dynamics of traffic flow rate. Hence, the objective of this chapter is to elucidate the significance of MCDA considering the spatial and temporal measures of traffic flow rate. Also, this chapter presents a case study on the formulation of algorithm for the prediction of traffic flow rate on highways. Experimental results are reported with an estimation of time complexity of algorithms.

Keywords: Transport Data Science; Transportation; Traffic; Temporal; Spatial; Multi-criteria decision analysis; Operation Research (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-031-16620-4_9

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DOI: 10.1007/978-3-031-16620-4_9

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