Parking Space Booking System - Autopark

Aug 27, 2026

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Urban parking creates persistent congestion and user frustration, driven by inefficient space utilization, limited real-time availability visibility, and weak accessibility. The paper presents Autopark, a parking booking and guidance system built on the Salesforce cloud platform to streamline search and reservation by time slot and location. GPS navigation directs drivers to assigned spots, reducing circling traffic and related emissions. For operators, the system delivers real-time occupancy and revenue analytics, supporting data-driven management. The architecture integrates Salesforce Mobile SDK, IoT, and Einstein Analytics, including dynamic pricing, demand forecasting, and personalized recommendations. It also considers scalability, usability, and future integration with smart cities and autonomous vehicles.

LanguageEnglish

CategoryTechnology

FormatPDF

Pages5

Reading Time13 min

AccessFree to download

Abstract

1. Introduction

2. Related Work

Parking Space Booking System Shruti Bhanag1, Dhanajay Killewale2, Utpresha Yeole3, Sakshi Jambhule4, Prof. R. S. Badre5 1,2,3,4 B.E. (Computer Science & Engineering), Prof. Ram Meghe Institute of Research and Technology, BadneraAmravati, Maharashtra, India 5Assistant Professor, Dept. of Computer Science Engineering, Prof. Ram Meghe Institute of Research and Technology, Badnera-Amravati, Maharashtra, India *** --------------------------------------------------------------------- ------------------- -------------------------------------------------- Abstract-In urban settings, the quest for parking often presents a significant challenge. This paper introduces Autopark, an innovative system leveraging the Salesforce cloud computing platform, designed to alleviate parkingrelated frustrations. Autopark's core objective is to mitigate congestion and simplify the process of locating parking spaces in urban environments. Traditional parking systems are plagued by issues such as inefficient space utilization, lack of real-time availability awareness, and limited user accessibility. Autopark addresses these shortcomings by harnessing the robust capabilities of the Salesforce platform, renowned for its capacity to handle vast volumes of data. The system streamlines the discovery and reservation of parking spots, enabling users to search based on preferred time slots and desired locations. Leveraging GPS technology, Autopark provides precise navigation to designated parking spots, thereby reducing traffic congestion and environmental pollution associated with aimless circling for parking. Moreover, Autopark extends its utility to parking lot owners and operators, empowering them with real-time insights into lot occupancy, revenue tracking, and data-driven decisionmaking capabilities. This study delves into the technical architecture of Autopark, with a focus on its integration of Salesforce components such as the Mobile SDK, IoT, and Einstein Analytics. It examines the implementation of advanced features including dynamic pricing mechanisms, predictive analytics for demand forecasting, and personalized user recommendations. Furthermore, the paper explores the broader implications of Autopark on urban transportation dynamics, environmental sustainability initiatives, and economic development endeavors. By optimizing parking space utilization and mitigating traffic congestion, Autopark contributes to the creation of more environmentally friendly and livable urban landscapes. Autopark represents a paradigm-shifting solution for parking space management, leveraging Salesforce technology to enhance user accessibility and resource optimization in urban environments. Its potential impact extends beyond parking convenience, encompassing broader urban sustainability objectives. Further research is warranted to assess Autopark's scalability, user acceptance, and integration with emerging technologies such as autonomous vehicles and smart city infrastructure. Key Words: Autopark, salesforce, Cloud, Parking, Apex. 1. INTRODUCTION As urban populations burgeon and urban areas become increasingly congested, the procurement of parking spaces has emerged as a significant challenge for motorists. This dilemma has exacerbated traffic congestion and imposed environmental strain through the proliferation of idling vehicles. In response, novel parking reservation systems have been developed, enabling drivers to secure parking accommodations in advance of their requisite time. These innovative systems expedite parking location, optimize space utilization, and mitigate traffic congestion. Smart parking systems leverage technological advancements to facilitate prearranged reservations, thereby streamlining the parking process, enhancing reliability, and alleviating stress. This paper scrutinizes the operational framework of parking space reservation systems, elucidates their benefits, delineates encountered challenges, and speculates on their

FAQs

What problems does Autopark target in urban parking management?

Autopark targets inefficient space utilization, lack of real-time availability awareness, and limited user accessibility, all of which contribute to congestion and frustration.

How does Autopark help drivers find and reserve parking spaces?

Users search based on preferred time slots and locations, then use GPS navigation to reach the designated parking spot, avoiding aimless circling.

What capabilities does Autopark provide for parking lot owners and operators?

It provides real-time insights into lot occupancy, revenue tracking, and data-driven decision-making to improve management performance.

Aug 27, 2026

Upload by Aria