Carpooling Solutions Using Machine Learning Tools

Carpooling Solutions Using Machine Learning Tools

DOI: 10.4018/978-1-7998-9795-8.ch002
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Abstract

If there isn't enough parking within a university's campus, it will take a long time to look for parking. If a university has a number of research stations that are geographically apart from one another, communication occurs between them and the main office using office cars, although occasionally leased vehicles are obtained from a travel agency. The cost of transportation will rise as a result. Similarly, all students who are not from the dormitory are day scholars who come from their homes. Every day they must drive a significant distance to go to the institution in rented automobiles. This chapter deals with the performance solutions in carpooling using machine learning techniques.
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Literature Review

IoT makes use of various devices that are capable of talking and exchanging information among themselves, since this concept allows them to be used in both active and passive configurations. The basic goal of IoT (Liu, S., et. al., 2021) is to create clever intelligent settings or places where objects such as smart cities (Kaushik, D., et. al. 2021), smart homes and smart transportation (Stiles, J., et. al., 2021) are self-aware for unique and inventive applications. In the Internet of Things, each item and entity (thing) is given a unique identification that allows them to receive or send data mechanically from or to a network. Radio-Frequency Identification (RFID (Shaohao, X., et. l al. 2020) sensors (Wei, H. et. al. 2021), actuators (Zenkour, A. M., et. al. 2021), detectors (Gonzo, R.. 2021), and other IoT gadgets are examples. Much of the Internet of Things (IoT) consists of various intelligent computer devices and associated sensor systems that are primarily utilised in vehicle-to-vehicle (V2V) and machine-to-machine (M2M) communication, as well as wearable computing devices for various reasons. The Internet of Things (IoT) is steadily expanding its application sectors in several domains of technology, securing its position in the sphere of transportation and traffic management as well. The main issue in the present situation is the rise in the number of passenger vehicles (i.e. automobiles), which is directly proportional to population growth. As a consequence, substantial issues such as extreme traffic congestion (Moyano, A. et. al. 2021), accidents, noise, and travel time lag have arisen. Car sharing is an improvised means of transportation that allows numerous people to share the trip of a single car regardless of their origin. The major goal is to minimise the overall number of vehicles on the road at any one time while also lowering the cost of travel for each rider. Car sharing is, in reality, the most frequent general paratransit method, in which passengers from various user groups to share a vehicle that follows their pre-determined itinerary. Car sharing facilitates ride sharing using passenger automobiles; it is based on the concept of sharing a single passenger vehicle with others, with the vehicle's owner being a third party (subject to business). As a consequence, most urban users or passengers have the opportunity to travel in a shared vehicle without owning one, and they may do so after acquiring a standardised key card from one of the expressly named approved stations and paying a predetermined wage or reimbursement cost. In comparison to the existing scenario, the IoT notion provides a horizon for automobile sharing. The main objective of the Internet of Things is to provide connection for everyone to everything, 24 hours a day, 7 days a week, and from any location, which is critical for the car-sharing system.

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