scholarly journals Dispatching Design for Customized Bus of Hybrid Vehicles Based on Reservation Data

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xuemei Zhou ◽  
Jiaojiao Xi ◽  
Zhen Guan ◽  
Xiangfeng Ji

Proper vehicle operation and route planning are critical for achieving the best match between bus operation and passenger services. In order to enhance the attractiveness of public transportation, a new type of the public transportation dispatching method based on passenger reservation data is proposed. This mode can meet the requirements of multiple lines in urban centers during peak hours, which can realize direct service between two stations. Then, taking the lowest operating cost of the enterprise and the lowest passenger waiting cost as the optimization goal, a customized dynamic dispatching model of multiline and hybrid vehicles was established. Finally, a calculation example is designed and the genetic algorithm is used to solve the model. The results show that the hybrid vehicle solution is more reasonable than the traditional single-vehicle solution and reveal that the model is feasible to optimize scheduling plan. The conclusions obtained in this research lay a theoretical foundation for APP setup and operation plan formulation.

2019 ◽  
Vol 261 ◽  
pp. 02002
Author(s):  
Lucian Cucu ◽  
Marilena Stoica ◽  
Ionel Simion ◽  
Gina Florica Stoica

The aim of this paper is to design a passenger train storage system. It concerns with the idea of safe storage in public transportation. The design consists of developing a new type of storage system complying with the standards of the European Union (EU) that can improve the railroad transportation system.


Author(s):  
Ryoichi Sakano ◽  
Julian Benjamin

Local public transportation agencies provide a nonemergency human transport service to nearby hospitals and doctors' offices. Some users require specialized medical services at a hospital located out of the normal service area. In the Piedmont/Triad region of North Carolina, the Piedmont Authority for Regional Transportation (PART) began PART Connections in April 2004, to provide two daily transportation services between the Piedmont/Triad area and the UNC/Duke medical areas. Using current operating cost data of participating transportation systems, round-trip costs to the UNC/Duke medical areas from each county and to the nearest PART Connections stop are estimated. Given the actual number of passengers served by PART Connections during the first nine-month period of the service, the net saving in the operating cost by participating PART Connections is estimated for each system. Then, the total service hours saved by using PART Connections are estimated for each system, and are used to estimate the number of additional passengers served within the system. It is estimated that PART Connections could provide a net saving of $38,000 on operation expenses annually to the participating four county transportation systems. More importantly, PART Connections would enable the four county systems to provide more than 10,000 additional passenger trips within each county annually, by using the saved resources. In addition, 12 local community transportation providers in 15 western counties of the Piedmont/Triad region, which currently do not participate in PART Connections, are estimated to save a modest $9,600 in total annually, by using PART Connections.


2020 ◽  
Vol 11 (4) ◽  
pp. 61
Author(s):  
Chalermchat Theeraviriya ◽  
Worapot Sirirak ◽  
Natthanan Praseeratasang

Electric vehicles (EVs) are anticipated to play a critical role in the green transportation of the future. Logistics companies have started several projects operating with EVs in road transportation. However, routing decisions for EVs must take limited driving ranges into account. Previous related research on electric vehicle location routing problems (EVLRP) has investigated intra route facilities that support the energy supply network. Contrarily, this paper studies a new type of EVLRP with a restricted distance, where EVs are used for route planning in reverse flow logistics. The model is formulated from a real case problem in agriculture that combines both locating multiple depots and determining routing paths with a limited distance constraint. An adaptive large neighborhood search (ALNS) algorithm has been extended into four combinations and is proposed here for solving the problem. The computational results indicate that the ALNS algorithm can obtain quality solutions in short processing time when compared with software using exact methods. Furthermore, the proposed ALNS algorithm is applied to a case study problem to provide suitable locations and vehicle routes with a minimized total cost.


2019 ◽  
Vol 8 (5) ◽  
pp. 239 ◽  
Author(s):  
Zhihui Gu ◽  
Yong Zhu ◽  
Yan Zhang ◽  
Wanyu Zhou ◽  
Yu Chen

Station-free bike sharing systems (BSSs) are a new type of public bike system that has been widely deployed in China since 2017. However, rapid growth has vastly outpaced the immediate demand and overwhelmed many cities around the world. This paper proposes a heuristic bike optimization algorithm (HBOA) to determine the optimal supply and distribution of bikes considering the effect of bicycle cycling. In this approach, the different bike trips with separate bikes can be connected in space and time and converted into a continuous trip chain for a single bike. To improve this cycling efficiency, it is important to properly design the bicycle distribution. Taking Shenzhen as an example, we implement the algorithm with OD matrix data from Mobike and Ofo, the two large bike sharing companies which account for 80% of the shared bike market in Shenzhen, over two days. The HBOA results are as follows. 1) Only one-fifth of the bike supply is needed to meet the current usage demand if the bikes are used efficiently, which means a large number of shared bikes in Shenzhen remain in an idle state for long periods. 2) Although the cycling demand is high in many areas, it does not mean that large numbers of bikes are needed because the continuous inflow caused by the cycling effect of bikes will meet most of the demand by itself. 3) The areas with the highest demands for optimal bikes are residential, followed by industrial, public transportation, official and commercial areas, on both working and non-working days. This algorithm can be an objective basis for city related departments to manage station-free BSSs and be applied to design the layout of bikes in small-scale spatial units to help station-free BSSs operate efficiently and minimize the need to relocate the bikes without reducing the level of user satisfaction.


1984 ◽  
Vol 106 (1) ◽  
pp. 109-113 ◽  
Author(s):  
S. N. Kramer

In industry when a link, crank, or other mechanical component is to be rotated from one rest position to another, it is necessary to establish appropriate functional relationships for angular displacement, velocity, and acceleration versus time such that the output motion satisfies certain kinematic and dynamic requirements. In the work presented here, a new type of motion is developed which has distinct advantages over constant velocity motion, constant acceleration motion, simple harmonic motion, cycloidal motion, and polynomial motions. The “variable-rate transymmetric” motion allows a designer to assign specific portions of the motion to be described by a linearly varying acceleration and other portions by a constant acceleration. As a result, the designer can decrease the power required, decrease the operating cost, and decrease dynamic responses such as shock, vibration, and shaking force.


2021 ◽  
Vol 2 (1) ◽  
pp. 16-20
Author(s):  
Ahmet Atalay

The increasing number of urban centers and the increasing number of vehicles caused by industrialization caused problems such as lack of infrastructure in traffic, environmental pollution and an increase in energy requirements. This situation led the city administrators to search for solutions in order to improve the efficiency of public transportation systems and increase their efficiency. In this study, it is aimed to determine the functional efficiency of the bus lines used in urban public transportation. For this purpose, the lines are classified according to their functional activities by using the functional data of the lines. Both classical cluster analysis and self-organizing mapping (SOM) method were used for classification. Data from Erzurum main public transport lines were used to implement the methods. According to the findings of this study, it was determined that the two methods achieved similar results. As a result, it has been determined that classification of public transportation lines used in cities according to their functional efficiency will be beneficial for decision makers to make correct planning. With the right planning in public transport lines, significant economic and environmental benefits will be obtained.


2021 ◽  
Author(s):  
Donatella Darsena ◽  
Giacinto Gelli ◽  
Ivan Iudice ◽  
Francesco Verde

Avoidance of crowding situations in public transportation (PT) systems is crucial to foster sustainable mobility, by increasing the user’s comfort and satisfaction during normal operation, as well as to manage emergency situations, such as pandemic crises as recently experienced with COVID-19 limitations. This paper presents a comprehensive review of several crowd detection techniques based on Internet of Things (IoT) technologies, which can be adopted to avoid crowding in various segments of the PT system (buses/trams/trains, railway/subway stations, and bus stops). To discuss such techniques in a clear systematic perspective, we introduce a reference framework called SALUTARY (Safe and Reliable Public Transportation System), which in our vision employs modern information and communication technologies (ICT) in order to: (i) monitor and predict crowding events; (ii) adapt in real-time PT system operations, i.e., by modifying service frequency, timetables, routes, and so on; (iii) inform the users of crowding events by electronic displays installed in correspondence of the bus stops/stations and/or by mobile transport applications. It is envisioned that the new anti-crowding functionalities can be incrementally implemented as an addon to the intelligent transportation system (ITS) platform, which is already in use by major PT companies operating in urban areas. Moreover, it is argued that in this new framework, additional services can be delivered, such as, e.g., online ticketing, vehicle access control and reservation in severely crowded situations, and evolved crowd-aware route planning.


2018 ◽  
Vol 2 (6) ◽  
pp. 1-5
Author(s):  

Unmanned air vehicles (UAV) have been used for many years and it mainly focus on military purposes. Numerous UAV development have been popular worldwide because the low in development cost, operating cost and ability to provide accurate surveillance information and it is a better option for performing reconnaissance missions in hostile environment. However, in the past years a new type of UAV has appeared that possessed lighter weight and smaller in size and it is categorized as a micro unmanned air vehicle (μ-UAV). Although the nonautonomous ready-to-fly tailless μ-UAV exists among local universities, the development of non-autonomous ready-to-fly tailless μ-UAV is still open to be explored. Thus, this project demonstrates the development of the non-autonomous ready-to-fly tailless μ-UAV named as Neo-Ptero. A special CNC hot wire cutter machine was used in the Neo-Ptero fuselage and wing development in which has evidently produced high accuracy of shapes and geometry based on the CAD design. A 3D printing process was used to produce few parts in the Neo-Ptero μUAV model. The model was equipped with on shelves RC components for future flight testing purpose. The actual Neo-Ptero weigh around 1.3kg and has a wingspan of 120.6cm.


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