Carpooling System Research Articles

THE ENVIROMENTAL AND SOCIAL IMPACT OF CARPOOLING

Abstract: Car pooling System is an automated system which reduces the misery of travelers and makes them find cars in short period of time. Car pooling is an application of finding car in which drivers who are traveling to work alone can ask for fellow passengers through our application. For those who use public-transport system to go to work daily can use this application to find drivers who are traveling to the same destination in a short path. It provides with a simple riding platform between the car owner and car user. This project enables users to access mobility assets own by others exactly when they need. I t shows a medium for available cars to pick up them on the interest of car owner with time and capacity. This project aims at creation of a Car-pooling System. This paper delves into the design and implementation of a novel carpooling project aimed at addressing the challenges of urban transportation sustainability. With burgeoning urban populations, congestion, and environmental concerns, the need for innovative solutions is paramount. Carpooling presents a viable avenue to alleviate these issues by fostering shared mobility, reducing traffic congestion, and cutting down carbon emissions. The project employs a multi-faceted approach, leveraging advancements in mobile technology, data analytics, and user incentives to optimize the carpooling experience. Key components include a user-friendly mobile application for seamless ride matching, dynamic routing algorithms to optimize trip efficiency, and incentive structures to encourage participation and retention. Through a combination of quantitative analysis and qualitative feedback, the efficacy of the carpooling project is evaluated. Metrics such as reduction in vehicle miles traveled, greenhouse gas emissions, and user satisfaction levels are assessed to gauge its impact on urban transportation sustainability. The findings of this research contribute to the growing body of knowledge on sustainable transportation solutions and provide insights for policymakers, urban planners, and transportation stakeholders seeking to promote carpooling initiatives. Ultimately, the project aims to foster a culture of shared mobility and pave the way for more efficient and sustainable urban transportation systems. IndexTerms – HTML, CSS, Javascript. Bootsrap, MySQL, Python.

Development and Implementation of a Carpooling Web Application

The system provides an online platform for commuters to connect and share rides, thereby reducing the number of cars on the road. This decrease in vehicles translates to lower fuel consumption and air pollution. By encouraging ride-sharing, the project promotes sustainable transportation practices. The paper delves into the system's design, features, and user experience, emphasizing its potential to ease traffic jams and improve air quality in cities. The evaluation confirms the system's effectiveness in boosting mobility while fostering environmental protection and economic viability. Keywords: Car Pooling System, Sustainable Transportation, Ride-sharing

An analytical model of many-to-one carpool system performance under cost-based detour limits

Carpooling has emerged as a highly efficient method for mitigating traffic congestion. By strategically consolidating multiple travelers into fewer vehicles, carpooling substantially cuts down the overall number of vehicles on the road. However, the effectiveness of a carpooling system highly depends on the proportion of interested users that can be successfully matched and the amount of benefits users gain from these matches. This paper develops analytical models to estimate these metrics for a carpooling system that serves a many-to-one demand pattern, in which travelers share the same basic destination but travel from different origins. Two distinct scenarios are incorporated in the models: one where users have a preferred role of a driver or rider and another in which they are ambivalent between the two roles. The models provide the system’s expected match rate and average user surplus as a function of the network size, number of users, and travel costs. Different from previous studies, the proposed models developed here consider that users only participate in trips that are beneficial to them from a cost perspective, rather than assuming fixed detours. This allows for matching incorporating spatial and financial considerations, promising flexible and rational matches in carpool systems. Simulation tests are used to validate the effectiveness of the analytical models. Results also offer insights into how various factors impact the system’s performance.

Car Pooling System

Traffic jams, pollution, and wasteful use of resources are just a few of the transportation-related issues that have arisen as a result of urbanization. Adapting sustainable transportation networks is crucial to address these issues, and carpooling is one of the most important tactics in this effort. To support the development of a sustainable transportation ecology in metropolitan areas, this abstract provides a thorough foundation for a carpooling system. Utilizing contemporary technology such as GPS monitoring, data analytics, and mobile applications, the suggested Carpooling System maximizes vehicle occupancy and reduces travel times by pairing drivers and passengers in the most efficient way possible. Ride-sharing experiences are made easy and convenient by the system's integration of user preferences, including routes, departure hours, and passenger compatibility. To further ease traffic congestion, minimize carbon emissions, and encourage the economical use of transportation resources, the Carpooling System was created with sustainability as its primary goal. The approach promotes widespread adoption and involvement by offering incentives like cost-sharing and awards for eco- friendly behavior. The Carpooling System not only improves the environment but also the social and economic spheres by increasing social connections, encouraging community involvement, and saving consumers money on commuting. The concept helps create more inclusive and resilient metropolitan communities by encouraging a shared mobility culture. The importance of including carpooling in the larger context of sustainable urban mobility is generally highlighted by this abstract. A realistic way forward for livable, equitable, and ecologically conscious cities in the face of rising urbanization and transportation issues is provided by the suggested Carpooling System, which embraces innovation, technology, and cooperative efforts.

An Empirical Study on Acceptance of Carpooling Service in Mirpur DOHS, Dhaka

Building a multivariate statistical model is the aim of this research for identifying the aspects that impact carpooling and acquisition in a residential area. Based on the stated attitudes and perceived risk of the users, a structured questionnaire is created with 152 feedbacks in total are gathered from residents of Mirpur DOHS. The research hypotheses are validated by means of structural equation modeling (SEM). The best SEM is chosen using statistical criteria and multiple trials. To validate the selected SEM, the feedbacks are further examined using the Relative Importance Index (RII) approach. The study shows that the “Safety & Security” latent variable has more influence on the acceptance of the carpooling system among the two latent variables. Among the six observed variables underneath the “safety & Security” latent variable, ‘Sharing Personal Information (y7)’ has the most significance. The service providers and policymakers will be able to execute the carpooling system in the Mirpur DOHS area with the aid of the identification of the significant factors in this.

Efficient Transport Sharing Systems

Abstract: Car pooling System is an automated system which reduces the misery of travelers and makes them find cars in short period of time. Car pooling is an application of finding car in which drivers who are traveling to work alone can ask for fellow passengers through our application. For those who use public-transport system to go to work daily can use this application to find drivers who are traveling to the same destination in a short path. It provides with a simple riding platform between the car owner and car user. This project enables users to access mobility assets own by others exactly when they need. I t shows a medium for available cars to pick up them on the interest of car owner with time and capacity. This project aims at creation of a Car-pooling System. This paper delves into the design and implementation of a novel carpooling project aimed at addressing the challenges of urban transportation sustainability. With burgeoning urban populations, congestion, and environmental concerns, the need for innovative solutions is paramount. Carpooling presents a viable avenue to alleviate these issues by fostering shared mobility, reducing traffic congestion, and cutting down carbon emissions. The project employs a multi-faceted approach, leveraging advancements in mobile technology, data analytics, and user incentives to optimize the carpooling experience. Key components include a user-friendly mobile application for seamless ride matching, dynamic routing algorithms to optimize trip efficiency, and incentive structures to encourage participation and retention. Through a combination of quantitative analysis and qualitative feedback, the efficacy of the carpooling project is evaluated. Metrics such as reduction in vehicle miles traveled, greenhouse gas emissions, and user satisfaction levels are assessed to gauge its impact on urban transportation sustainability. The findings of this research contribute to the growing body of knowledge on sustainable transportation solutions and provide insights for policymakers, urban planners, and transportation stakeholders seeking to promote carpooling initiatives. Ultimately, the project aims to foster a culture of shared mobility and pave the way for more efficient and sustainable urban transportation systems. IndexTerms – HTML, CSS, Javascript, Django, Bootsrap, MySQL, Python.

A tripartite evolutionary game analysis of providing subsidies for pick-up/drop-off strategy in carpooling problem

Although the pick-up/drop-off (PUDO) strategy in carpooling offers the convenience of short-distance walking for passengers during boarding and disembarking, there is a noticeable hesitancy among commuters to adopt this travel method, despite its numerous benefits. Here, this paper establishes a tripartite evolutionary game theory (EGT) model to verify the evolutionary stability of choosing the PUDO strategy of drivers and passengers and offering subsidies strategy of carpooling platforms in carpooling system. The model presented in this paper serves as a valuable tool for assessing the dissemination and implementation of PUDO strategy and offering subsidies strategy in carpooling applications. Subsequently, an empirical analysis is conducted to examine and compare the sensitivity of the parameters across various scenarios. The findings suggest that: firstly, providing subsidies to passengers and drivers, along with deductions for drivers through carpooling platforms, is an effective way to promote wider adoption of the PUDO strategy. Then, the decision-making process is divided into three stages: initial stage, middle stage, and mature stage. PUDO strategy progresses from initial rejection to widespread acceptance among drivers in the middle stage and, in the mature stage, both passengers and drivers tend to adopt it under carpooling platform subsidies; the factors influencing the costs of waiting and walking times, as well as the subsidies granted to passengers, are essential determinants that require careful consideration by passengers, drivers, and carpooling platforms when choosing the PUDO strategy. Our work provides valuable insight into the PUDO strategy’s applicability and the declared results provide implications for traffic managers and carpooling platforms to offer a suitable incentive.

Safe Route Carpooling to Avoid Accident Locations and Small-Scale Proof of Concept in Japan

Carpooling, a transportation service that encourages employees to pick up and drop off co workers while driving to and from work, has the potential to decrease the number of private cars used to commute, eases commuter traffic congestion, and reduce CO <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$_{2}$</tex-math> </inline-formula> emissions. Despite this potential situation of severe traffic congestion in Japan, little work has gone into developing carpooling specifically for commuting with co-workers scenarios. To build a carpooling system that accommodates Japanese unique culture and regulations, receptivity, safety, and profitability would be essential success factors. A carpooling problem (CPP) is proposed in this article with a focus on safety to discover a safe route for each driver that picks up and drops off co-workers and drives to and from their workspace while avoiding high accident-frequency locations. The CPP defines the subsets of employees sharing each car and the routes the drivers should take to optimize and minimize the total distance. Accident location data define the risk and driving competence determined by the classification of driver’s license and grade of automobile insurance; then, a driver’s optimal route minimizes risk while decreasing the total distance sought in deriving the CPP. The effectiveness of the proposed CPP was demonstrated by an experiment using actual accident data. This article also reports the small-scale proof-of-concept (PoC) study conducted to verify the efficacy of the proposed CPP and highlight issues with its practical application. Ten employees with five drivers and five co-workers commuted via carpooling for two weeks using a mobile application with the CPP developed independently. Through the questionnaire survey conducted after the PoC, we validated the need for carpooling. We also identified some challenges: safe map navigation, incentives for the driver, and adaptation to Japanese culture when the carpooling system is in practical use.

Car-Pooling System (CapX)

With traffic congestion and environmental concerns on the rise, carpooling systems have become increasingly popular. This paper proposes a carpooling system that matches drivers and riders based on their travel preferences and routes using an advanced algorithm. The system considers factors such as pickup and drop-off locations, preferred departure time, and route to find the most compatible matches. Additionally, real-time updates are provided on the driver's location and the rider's estimated time of arrival. This carpooling system not only reduces traffic congestion but also lowers carbon emissions, promoting environmental sustainability. It also offers a safe and reliable alternative for individuals without access to private transportation or public transit. The proposed carpooling system has the potential to transform commuting, providing a practical solution for a more sustainable future.

Proposal for an Institutional Carpooling System among Workers from the Public-Education Sector

Car journeys to work represent a high percentage of daily mobility. Carpooling can be an efficient alternative for managing this transport demand. Carpooling benefits are not limited to reducing emissions and energy consumption: users can also benefit in the reduction in travel costs and travel time using high-occupancy vehicle lanes, as well as reducing commuting stress. The organization of such a system is not easy to carry out individually. Institutions and companies with a high number of employees are suitable for carpooling initiatives, and the education sector holds a high number of workers. Considering the large number of teachers and the fact that many of them are regular drivers, the sector presents an opportunity to design a formal carpooling transport system. This paper presents the design of a proposal for a carpooling system among workers from the education sector in the region of Andalusia, Spain. The system yielded relevant benefits such as cost savings, emissions reductions, and a high number of potential users. The designed system can potentially improve transport conditions for workers in commuting displacements and reduce occupational traffic accidents.

Evaluating the Environmental Benefits of Personalized Travel Incentives in Dynamic Carpooling

In a dynamic carpooling system, drivers and riders with their own intended travel plans are matched on short notice. The performance of such a system largely depends on the carpool participants' travel flexibility (the extent to which a detour is tolerated or the willingness to accept a slightly different drop-off location). To increase travel flexibility, an incentive scheme can be introduced for carpool participants to opt for. For instance, a driver specifies how much she/he expects to be compensated (e.g., $5) if the earliest departure time is shifted to be earlier than the originally scheduled time by a certain amount (e.g., 10 minutes). Similarly, an interested passenger reports the expected incentive to willingly accept a different destination (such as a nearby transit stop or coffee shop) deviating from the request. In this dynamic carpool matching problem with incentives, the following decisions are jointly optimized from the perspective of a carpool matching coordinator: 1) incentive allocations to drivers and riders, 2) assignments of riders to drivers, and 3) vehicle routes of drivers. A case study based on data from Washington, D.C. is conducted to evaluate the potential of the personalized incentives offered to carpool participants in mitigating the environmental impact of transportation (quantified by the reduction of vehicle miles traveled). Two notable findings are reported. First, one dollar of incentive could reduce vehicle miles travelled by 2.88 in one benchmark case. Second, driver incentives are shown to be much more effective than rider incentives under reasonable cost assumptions.

Car Pooling Sustem

Abstract: Car pooling System is an automated system which reduces the misery of travelers and makes them find cars in short period of time. Car pooling is an application of finding car in which drivers who are traveling to work alone can ask for fellow passengers through our application. For those who use public-transport system to go to work daily can use this application to find drivers who are traveling to the same destination in a short path. It provides with a simple riding platform between the car owner and car user. This project enables users to access mobility assets own by others exactly when they need. It shows a medium for available cars to pick up them on the interest of car owner with time and capacity. This project aims at creation of a Car-pooling System. Keywords: carpooling, environment friendly

Offsetting the Impact of CO2 Emissions Resulting from the Transport of Maiêutica’s Academic Campus Community

The authors aim to investigate the number of trees necessary to capture the CO2 emissions from house–campus travelling, to and from the Maiêutica Academic Campus in the north of Portugal. A sample of the academic community was given an online survey in order to assess mobility practices. Based on the data collected, CO2 emissions, as well as the number of trees necessary to mitigate these emissions, were calculated. The authors estimate that the total emissions resulting from house–campus commutes amount to 2937 tCO2 year−1. To mitigate this amount of carbon dioxide, 138 ha would be necessary to plant 96,539 trees, according to the species’ respective CO2 removal rates. The estimated tree area necessary to neutralize the community’s mobility related CO2 emissions is so high that other alternatives must be considered: a preferred use of public transportation, carpool system, online theoretical classes, rescheduling timetables, green roofs installation, and photovoltaic panels.

Cost calculation and economic efficiency of carpooling

Reducing the costs and environmental impact of passenger car transport is very important. However, people are often more interested in money savings. Carpooling is a passenger transport system in which the driver shares a seat or seats in his car. The system consists of a certain number of vehicles, users, and a coordination element. It is very different from Carsharing, in which the whole vehicle is shared. It is not easy to quantify the economic benefits of a carpooling system for the driver. The third chapter shows the cost calculation of operating a private passenger car. Currently, drivers can use various booking systems that recommend the optimal price for transporting one person for a specific distance. It is approximately possible to determine what travel fare the driver obtains in the carpooling. These revenues are in the fourth chapter of the article. The main goal is to evaluate the economic efficiency of carpooling by comparison of calculated costs and revenues. It shows the exact methodology of how it is possible to estimate the economic benefits of the carpooling system for individuals.

AN ANALYTICAL STUDY ON DIRECTIONS AND PROFILE MATCHING FOR CARPOOL SYSTEM

These days, numbers of citizens are exploring different approaches to make better effective use of existing resources. In country like India, there are nearly about one to two people for every car and the number of person in an average car is nearly five. As a result of this, it is clearly understandable that the car driving has great potential for competence in this regard, on the basis of sharing of personal vehicles. Plenty of time and energy is saved by Carpooling, from a public and environmental point of view, but most importantly it reduces air pollution. Carpooling can share the location of each car between people with similar path or route. Carpooling evolved as an economical and anxiety-free system for distribution. In this analytical study paper, presentation of information is made about an overview of computer-based platforms that improve sustainability. In particular, this discussion will help car users choose the basis of transportation solutions for their natural footprint based on their needs, preferences and location. The success rate of this automotive system is based on the relative routes that directly connect traditional points and destinations to the most involved passengers and increase the integer of association from single to double, requiring change in two successive passengers. This analytical study paper reviews from the artistic nature of the modern carpooling method. It identifies the most important challenges in adopting modern carpooling system and the anticipated results to the same identified problems.

A NEW MODEL OF COMPARATIVE DIRECTIONS AND PROFILE MATCHING IN THE CARPOOLING COMPUTATIONAL SYSTEMS

Carpooling is a system in which the passenger can share the vehicles and by this means the traffic also reduces due to reducing the no. of vehicle on the road. Most of the government and non-government organization has started the implementation of carpooling system. To implement this system various approaches has been developed but it becomes essentials that the selection of optimal distance for picking the passenger for improving the recital of the system. So in this research work, we use graph traversal technique to find the effective path and it is tested to find the optimal solution. The experimental results of the proposed methodology show that our approach is more efficient than the existing approach.

Embracive compendium of carpooling applications and proposed framework for agent mediated carpooling systems

Car pooling is environment friendly form of ride sharing technique which reduces bottleneck on roads and thereby also downsizing the parking challenge. However as per extant study distrust or wariness and high shuttle tariffs are major challenges for carpooling services. One way to boost trust among commuters and commuters and drivers is to bring into consideration reputation assessment mechanisms which will enhance civil assuage. This can be achieved by bringing social networks, route networks, commuter’s desires, ratings of commuters and cost optimization into account and developing a framework based on these factors. Agent mediated rapidly changing carpooling system involves booking seats to travel from a particular source to destination through software agents. One major problem in such systems is the anterior concurrence between the person who plays the role of driver and offers his vehicle for ride and the commuters. The dynamic carpooling exploit IT system to eliminate this constraint and ameliorate the nature of service. This paper assesses numerous trust and reputation systems specific to carpooling applications. These models are investigated on the underpinning of manifold idiosyncrasy like trust measurement, reputation reckoning, and threats on the system. This paper furnishes reputation reckoning framework for carpooling system that changes with the changes in environment by counting user desires, social networks and score from other commuters thereby ameliorate precursory systems by meliorate trust factor between the two involved parties. The carpooling model tacit a major trust affair because people resist sharing their vehicles or their time with strangers.

Digital technologies and new mobility

New types of mobility for people started to appear with the development of digitalization in various fields of transport industry. The article discusses the development trends of digital technologies in transport sector. The current situation of the use of digital technologies in transport is observed. Forecasts of the development and introduction of new technologies in digitalization are given. The author presents the overview and forecasts of the need for regulation of transport, taking into account modern technologies as well as the overview of new types of mobility for remote cities where it is not possible to create scheduled routes. The analysis and review of such directions of transport as sharing are presented. The advantages and disadvantages brought by car sharing in cities are substantiated. The analysis of the policies of different cities in stimulating people to transition to general economy and sharing cars is presented. As a result the overview of the advantages and disadvantages of carpooling system is reflected. Necessary legal regulation of carpooling and control over this type of activity are proposed. The article touches upon the issue of the fight against mass motorization through the use of vehicle sharing.

Smart Transportation Based Car Pooling System

Sharing of car is Carpooling, so that multiple number of people can travel in single car. the use of car pooling reduces single individuals Travelling cost , reduces the fuel cost and reduces the number of cars. Due to the growth in the population there is inadequate transportation through their own car . Rather than using different mode of Transportation. It results in increasing number of Traffic on roads also increases pollution and increases time to travel to there destination. So by Smart transportation using car pooling system the individual can travel and share there rides with different people of a same destination. In this paper we have carried outs survey. By reviewing various Literature papers on carpooling it aims to reduce the number of cars by sharing the rides.

An artificial bee colony algorithm with variable neighborhood search and tabu list for long-term carpooling problem with time window

Carpooling is an effective sharing economy mode that can increase utilization ratio of vehicle and relieve traffic pressure in cities. A carpooling system needs to provide feasible car-sharing solution under the constraint on time window of each passenger. Moreover, fairness is important to a long-term car sharing problem. A person will not willing to share his/her car if he/she has more contribution than others. In this paper, a long-term carpooling problem with time window is investigated for a group of people with a common destination. In order to guarantee fairness, a person can be chosen as a driver only for a limited number of consecutive days. An artificial bee colony algorithm combining variable neighbor search and tabu list (ABC-VNSTL) are proposed. We designed five neighbor search strategies: one-swapping strategy, all-swapping strategy, moving strategy, passenger to driver strategy, and solution exchange strategy. The experiments results demonstrate that ABC-VNSTL can obtain better solution quality than other six algorithms in the literature. As the number of participants increases, the advantages of ABC-VNSTL increase. In addition, ABC-VNSTL algorithm is more efficient than the compared algorithms under the condition of achieving same solution quality.