University Traveler Value of Potential Real-Time Transit Information

Intelligent transportation systems (ITS) have become common in public transit systems, particularly providing real-time transit information. For new implementations, it remains difficult to predict and quantify system and user benefits of technology implementation. Although previous studies have quantified the operational benefits of real-time transit traveler information systems, a gap in knowledge exists around passenger benefits of such systems. The objective of this research was to create a refined method for evaluating transit rider benefits from real-time traveler information and predict changes in traveler behavior. The study was conducted on a rural university campus, isolating the impacts of the system from the multiple influences that often affect transportation in larger metropolitan areas. This study uniquely integrated transit system performance, pedestrian travel times, and traffic simulation to determine travel times and predict mode split. Findings indicated that reducing passenger waiting anxiety was the most significant measure of traveler benefit from such a system. While the benefits found were specific to the study site, the methodology can be used for other transit systems evaluating real-time transit technology investments in rural or urban environments

Real time bus tracking and scheduling system using wireless sensor and mobile technology

The public bus transportation system has the direct impact on economic development of the country. Scheduling, tracking and monitoring the schedule of the public bus transportation is one of the major issues for any public transportation sector. Presently, there are many vehicle tracking systems are available using Global Positioning Systems (GPS) technology. But there is no implementation at all buses in centralized scheduler. To keep track of buses in manual system is error-prone in the existing time keeping process by Time Keepers, and also this manual log is not being centralized to share with relevant authority and passengers. This project aims at designing a wireless sensor network that would identify and automatically provide the visual information for a real time movement of the public transport busses. The scheduler will dispatch data on arrival and departure with the bus ID and time-stamp from bus stops and passenger shelters along the bus route and it will report to the centralized scheduler. All these bus-stops and passenger shelters will be based on microcontrollers which is to be designed using the Arduino and RFID receiver. Bus will be equipped with front and rear tags. Detected RFID information will be sent through the Arduino and GSM / GPRS shields which are to be placed at the bus-stops into central scheduler, it will process the sensed raw data and will upload the derived coordinates on Google Maps, using Google Fusion tables. Administration and Passenger can check the real time movements over the web interfaces

The design of energy efficiency management system for an electricn propulsion passenger ship in inland river

The energy efficiency management system is of great significance for improving energy efficiency and reducing emissions of inland ships. This paper analyses the characteristics and requirements of the energy efficiency management system of an inland river 500-passenger electric propulsion cruise ship and proposes an overall design scheme for such a system with key technology implementation plan introduced. In the proposed system, an optimised energy efficiency management scheme can be generated remotely with energy efficiency related data collected from on board measuring system in real-time. An optimised scheme is proposed for accurate measurement of low instantaneous fuel flow, water flow velocity and shaft power as well as the information transmission mode of anti-jamming

Integrated multimodal airport operations for efficient passenger flow management: Two case studies

Predictive models and decision support tools allow information sharing, common situational awareness and real-time collaborative decision-making between airports and ground transport stakeholders. To support this general goal, IMHOTEP has developed a set of models able to anticipate the evolution of an airport’s passenger flows within the day of operations. This is to assess the operational impact of different management measures on the airport processes and the ground transport system. Two models covering the passenger flows inside the terminal and of passengers accessing and egressing the airport have been integrated to provide a holistic view of the passenger journey from door-to-gate and vice versa. This paper describes IMHOTEP’s application at two case study airports, Palma de Mallorca (PMI) and London City (LCY), at Proof of Concept (PoC-level) assessing impact and service improvements for passengers, airport operators and other key stakeholders. For the first time one measurable process is created to open up opportunities for better communication across all associated stakeholders. Ultimately the successful implementation will lead to a reduction of the carbon footprint of the passenger journey by better use of existing facilities and surface transport services, and the delay or omission of additional airport facility capacities

Analysis and operational challenges of dynamic ride sharing demand responsive transportation models

There is a wide body of evidence that suggests sustainable mobility is not only a technological question, but that automotive technology will be a part of the solution in becoming a necessary albeit insufficient condition. Sufficiency is emerging as a paradigm shift from car ownership to vehicle usage, which is a consequence of socio-economic changes. Information and Communication Technologies (ICT) now make it possible for a user to access a mobility service to go anywhere at any time. Among the many emerging mobility services, Multiple Passenger Ridesharing and its variants look the most promising. However, challenges arise in implementing these systems while accounting specifically for time dependencies and time windows that reflect users’ needs, specifically in terms of real-time fleet dispatching and dynamic route calculation. On the other hand, we must consider the feasibility and impact analysis of the many factors influencing the behavior of the system – as, for example, service demand, the size of the service fleet, the capacity of the shared vehicles and whether the time window requirements are soft or tight. This paper analyzes - a Decision Support System that computes solutions with ad hoc heuristics applied to variants of Pick Up and Delivery Problems with Time Windows, as well as to Feasibility and Profitability criteria rooted in Dynamic Insertion Heuristics. To evaluate the applications, a Simulation Framework is proposed. It is based on a microscopic simulation model that emulates real-time traffic conditions and a real traffic information system. It also interacts with the Decision Support System by feeding it with the required data for making decisions in the simulation that emulate the behavior of the shared fleet. The proposed simulation framework has been implemented in a model of Barcelona’s Central Business District. The obtained results prove the potential feasibility of the mobility concept.Postprint (published version

An Analysis of issues against the adoption of Dynamic Carpooling

Using a private car is a transportation system very common in industrialized countries. However, it causes different problems such as overuse of oil, traffic jams causing earth pollution, health problems and an inefficient use of personal time. One possible solution to these problems is carpooling, i.e. sharing a trip on a private car of a driver with one or more passengers. Carpooling would reduce the number of cars on streets hence providing worldwide environmental, economical and social benefits. The matching of drivers and passengers can be facilitated by information and communication technologies. Typically, a driver inserts on a web-site the availability of empty seats on his/her car for a planned trip and potential passengers can search for trips and contact the drivers. This process is slow and can be appropriate for long trips planned days in advance. We call this static carpooling and we note it is not used frequently by people even if there are already many web-sites offering this service and in fact the only real open challenge is widespread adoption. Dynamic carpooling, on the other hand, takes advantage of the recent and increasing adoption of Internet-connected geo-aware mobile devices for enabling impromptu trip opportunities. Passengers request trips directly on the street and can find a suitable ride in just few minutes. Currently there are no dynamic carpooling systems widely used. Every attempt to create and organize such systems failed. This paper reviews the state of the art of dynamic carpooling. It identifies the most important issues against the adoption of dynamic carpooling systems and the proposed solutions for such issues. It proposes a first input on solving the problem of mass-adopting dynamic carpooling systems.Comment: 10 pages, whitepaper, extracted from B.Sc. thesis "Dycapo: On the creation of an open-source Server and a Protocol for Dynamic Carpooling" (Daniel Graziotin, 2010

Marketing management in urban passenger transportation innovations

Purpose: This main aim of the article is to explore possible approaches to innovation marketing management by the example of urban passenger transportation. Design/Methodology/Approach: In modern conditions with the digitalization of the economy enterprises that provide transportation services are aimed at managing through artificial intelligence. Modern transport depends on the preferences of the population, based on philosophy of automation, intellectualization while at the same time is focused on the quality of transportation, elimination of losses and cost reduction. The specifics of marketing activities in the urban passenger transportation market is of particular importance in this study, taking into account the formation of the marketing innovation toolkit in the urban passenger transportation market under these specifics. Findings: A model for innovational marketing management in the urban passenger transportation sector was developed and justified, which includes six key innovation management blocks based on marketing functions: research, forecasting, information, organizational, advertising and practice. Practical implications: In practice, it is about creating a concept necessary for the provision of transport services for passengers transportation, based on the use of innovational marketing. The basic directions for the introduction of innovations at the enterprises of urban passenger transport are proposed. Originality/value: In the field of urban passenger transportation in the digital economy, new opportunities are opening up for development by applying innovational marketing, the practical implementation of which ensures increased efficiency and increases the demand for public transport services.peer-reviewe