Abstract
With a steady increase in the number of vehicles predicted, traffic congestion has become a significant logistical challenge. The increase in traffic not only results in pollution and traffic congestion, but also leads to increased travel time and productivity loss. Thus, traffic prediction has become an important research topic in the academia. In fact, logistics managers are more concerned about predicting short-term traffic conditions than the accuracy of prediction. Therefore, this study used a discrete-time Markov chain and online traffic monitoring data to predict the probability of traffic congestion and identify the freeway bottlenecks. The findings of the study revealed the high probability of National Freeway 3’s northern section being non-congested during the morning and afternoon rush hours. However, several bottlenecks were found in the links to nearby urban areas. The results of this study can not only facilitate logistics managers to optimize vehicle routes but can also support transportation control centers with regulating traffic flow in freeways during peak periods.
Highlights
With an increase in the number of vehicles predicted, traffic congestion has become a significant challenge worldwide
The deterioration in traffic conditions makes countermeasures to mitigate the effects of increasing fuel consumption, travel time, pollution, traveler dissatisfaction, and productivity loss [2]
Many researchers have focused on short-term traffic prediction [3], [4], an important research topic that is the focus of this study, to determine an efficient approach to utilize the current traffic infrastructure [4]
Summary
With an increase in the number of vehicles predicted, traffic congestion has become a significant challenge worldwide. Many researchers have focused on short-term traffic prediction [3], [4], an important research topic that is the focus of this study, to determine an efficient approach to utilize the current traffic infrastructure [4]. A. TRANSPORTATION IN LOGISTICS SYSTEMS Rapid motorization and urbanization present significant challenges to logistics systems; technologies and managerial strategies are being continuously developed and modified to provide customers with efficient service [7]. Structured coordination of all the components in the value chain is essential for optimal efficiency. To this end, transportation becomes the key element in logistics systems and directly affects the total logistics costs [8]. Transportation is nearly half the total cost of logistics and amounts to 4%-10% of the product selling price [9]
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