scholarly journals Simulation of Autonomous RoboShuttles in Shared Space

10.29007/h58z ◽  
2018 ◽  
Author(s):  
Rainer Gasper ◽  
Stephan Beutelschieß ◽  
Mario Krumnow ◽  
Levente Simon ◽  
Zoltan Baksa ◽  
...  
Keyword(s):  
Public Transportation ◽  
Transportation Network ◽  
Autonomous Vehicle ◽  
Autonomous Driving ◽  
Low Velocity ◽  
Final Destination ◽  
Shared Space ◽  
Last Mile ◽  
Simulation Scenario ◽  
Set Up

In the mobility sector, autonomous driving will become more and more part of our daily life. Most of all, in public transportation the research to exploit the new possibilities of autonomous driving has increased drastically. But the problem of the last mile is still unsolved, for example. The last mile is the problem to transport people from a transportation network (examples of endpoints are parking lots or bus station) to their final destination. A promising solution to this problem are autonomous RoboShuttles. Because of their low velocity, they can operate in the shared space where pedestrians and vehicles share the same traffic area. Therefore, in a shared space the interaction between them is greater than under normal traffic conditions, where the traffic flows are separated as much as possible. Through this higher interaction, new requirements on the autonomous vehicle arise. To explore the new requirements and to understand the interaction of a RoboShuttle in a shared space, a simulation scenario in SUMO is set up.

scholarly journals Accessibility and Equity Analysis of Transit Facility Sites for Common Carrier Parcel Lockers

2021 ◽  
pp. 036119812110322 ◽  
Author(s):  
Katherine L. Keeling ◽  
Jaclyn S. Schaefer ◽  
Miguel A. Figliozzi
Keyword(s):  
Public Transportation ◽  
Transportation Network ◽  
Policy Makers ◽  
Transit Ridership ◽  
Freight Logistics ◽  
Last Mile ◽  
Consumer Surveys ◽  
Common Carrier ◽  
Potential Strategy

Transit goals have typically focused on commuter trips but facilitating urban last mile freight logistics is a potential strategy to increase transit ridership and mitigate the demands of parcel distribution on the transportation network. Presently, most parcel lockers operate out of private businesses, but consumer surveys have found that transit users may be interested in locker facilities at transit facilities. The implementation of an unmanned, secure, common carrier parcel locker system could have benefits for non-transit users as well. This research presents a multiple-criteria approach for analyzing the potential of public transportation facilities as hosts for a common carrier locker system. Several accessibility and equity metrics, including ridership, mode of transportation, spatial distribution, and sociodemographic profiles of coverage areas are utilized. A case study utilizing real-word data from the Portland, OR region and its transit facilities is used to illustrate accessibility and equity tradeoffs. The results demonstrate that multiple facility types have the potential to host a locker system but there are complex accessibility and equity tradeoffs to be considered by stakeholders and policy makers when prioritizing locations.

scholarly journals How Autonomous Driving May Affect the Value of Travel Time Savings for Commuting

2018 ◽  
Vol 2672 (46) ◽  
pp. 11-20 ◽  
Author(s):  
Felix Steck ◽  
Viktoriya Kolarova ◽  
Francisco Bahamonde-Birke ◽  
Stefan Trommer ◽  
Barbara Lenz
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Autonomous Vehicle ◽  
Autonomous Driving ◽  
Future Research ◽  
Related Factors ◽  
Travel Time Savings ◽  
Time Savings ◽  
The Impact ◽  
Privately Owned

Autonomous driving is being discussed as a promising solution for transportation-related issues and might bring some improvement for users of the system. For instance, especially high mileage commuters might compensate for some of their time spent traveling as they will be able to undertake other activities while going to work. At the same time, there are still many uncertainties and little empirical data on the impact of autonomous driving on mode choices. This study addresses the impact of autonomous driving on value of travel time savings (VTTS) and mode choices for commuting trips using stated-choice experiments. Two use cases were addressed – a privately owned, and a shared autonomous vehicle – compared with other modes of transportation. The collected data were analyzed by performing a mixed logit model. The results show that mode-related factors such as time elements, especially in-vehicle time and cost, play a crucial role for mode choices that include autonomous vehicles. The study provides empirical evidence that autonomous driving may lead to a reduction in VTTS for commuting trips. It was found that driving autonomously in a privately owned vehicle might reduce the VTTS by 31% compared with driving manually, and is perceived similarly to in-vehicle time in public transportation. Furthermore, riding in a shared autonomous vehicle is perceived 10% less negatively than driving manually. The study provides important insights into VTTS by autonomous driving for commuting trips and could be a base for future research to build upon.

scholarly journals Optimal Route Computation for Public Transport with Minimum Travelling Time & Travel Cost: A Case Study of Pokhara City

2019 ◽  
Vol 1 (1) ◽  
pp. 79-86
Author(s):  
R. Thapa ◽  
J.K. Shrestha
Keyword(s):  
Travel Time ◽  
Shortest Path ◽  
Public Transportation ◽  
Transportation Network ◽  
Optimal Path ◽  
Travel Cost ◽  
Transit Network ◽  
Final Destination ◽  
Travelling Time

In road networks, it is imperative to discover a shortest way to reach the final destination. When an individual is new to a place, lots of time is wasted in finding the destination. With the advancement of technology, various navigation applications have been developed for guiding private vehicles, but few are designed for public transportation. This study is solely concentrated on finding the possible shortest path in terms of minimum time and cost to reach specific destination for an individual. It requires an appropriate algorithm to search the shortest path. With the implementation of Dijkstra’s algorithm, the shortest path with respect to minimum travel time and travel cost was computed. Public transportation network of Pokhara city was taken for the case study of this research. The results of this analysis indicated that when the “time” impedance was used by the algorithm, it generated the shortest path between the origin and destination along with the path to be followed. This study formulates a framework for generating itinerary for passengers in a transit network that allows the user to find the optimal path with minimum travel time and cost.

scholarly journals Sustainable Transport: An Efficient Transportation Network—Case Study

2020 ◽  
Vol 12 (19) ◽  
pp. 8274 ◽  
Author(s):  
Marek Ogryzek ◽  
Daria Adamska-Kmieć ◽  
Anna Klimach
Keyword(s):  
Public Transportation ◽  
Urban Areas ◽  
Transportation Network ◽  
Good Practice ◽  
Sustainable Transport ◽  
Gis Tools ◽  
Shared Space ◽  
Travel Policy ◽  
The City

The article describes sustainable transport principles and guides that can lead cities towards a more efficient transportation network. The authors also show good practice used in different urban areas, such as London and Copenhagen. Furthermore, Vilnius was analyzed for its sustainable transport rules and mobility. The authors took into consideration components such as public transport indicators, car use and the number of trips made by bicycle and by pedestrians. Additionally, solutions such as shared space, developing cycle routes and public transportation networks, dividing different transport modes, reducing distance and the need to travel, policy shifts and technological innovation are proposed. Moreover, already taken actions are also verified. The article, additionally, shows guidance for Vilnius, so it could be possible to develop a sustainable traffic network in the city. All analyses and guidance were based on using geographic information system (GIS) tools which allowed the authors to obtain the most reliable results. The artefacts are presented by means of a combination of graph theory algorithms in order to obtain sustainable transport using the example of a part of Vilnius City.

scholarly journals Selecting Freight Transportation Modes in Last-Mile Urban Distribution in Pamplona (Spain): An Option for Drone Delivery in Smart Cities

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4748
Author(s):  
Adrian Serrano-Hernandez ◽  
Aitor Ballano ◽  
Javier Faulin
Keyword(s):  
Public Transportation ◽  
Smart Cities ◽  
Freight Transportation ◽  
City Center ◽  
Analytic Hierarchy ◽  
Freight Logistics ◽  
Transportation Modes ◽  
Last Mile ◽  
Urban Distribution ◽  
The City

Urban distribution in medium-sized cities faces a major challenge, mainly when deliveries are difficult in the city center due to: an increase of e-commerce, weak public transportation system, and the promotion of urban sustainability plans. As a result, private cars, public transportation, and freight transportation compete for the same space. This paper analyses the current state for freight logistics in the city center of Pamplona (Spain) and proposes alternative transportation routes and transportation modes in the last-mile city center distribution according to different criteria evaluated by residents. An analytic hierarchy process (AHP) was developed. A number of alternatives have been assessed considering routes and transportation modes: the shortest route criterion and avoiding some city center area policies are combined with traditional van-based, bike, and aerial (drone) distribution protocols for delivering parcels and bar/restaurant supplies. These alternatives have been evaluated within a multicriteria framework in which economic, environmental, and social objectives are considered at the same time. The point in this multicriteria framework is that the criteria/alternative AHP weights and priorities have been set according to a survey deployed in the city of Pamplona (Navarre, Spain). The survey and AHP results show the preference for the use of drone or bike distribution in city center in order to reduce social and environmental issues.

scholarly journals DESIGNING A DATA VISUALISATION AND ANALYSIS TOOL FOR SUPPORTING DECISION-MAKING WITH PUBLIC TRANSPORTATION NETWORK

2021 ◽  
Vol 1 ◽  
pp. 1093-1102
Author(s):  
Flore Vallet ◽  
Mostepha Khouadjia ◽  
Ahmed Amrani ◽  
Juliette Pouzet
Keyword(s):  
Decision Making ◽  
Public Transportation ◽  
Transportation Network ◽  
Visual Exploration ◽  
Problem Solution ◽  
Analysis Tool ◽  
Complex Data ◽  
Data Visualisation ◽  
Ex Post ◽  
Passenger Flows

AbstractMassive data are surrounding us in our daily lives. Urban mobility generates a very high number of complex data reflecting the mobility of people, vehicles and objects. Transport operators are primary users who strive to discover the meaning of phenomena behind traffic data, aiming at regulation and transport planning. This paper tackles the question "How to design a supportive tool for visual exploration of digital mobility data to help a transport analyst in decision making?” The objective is to support an analyst to conduct an ex post analysis of train circulation and passenger flows, notably in disrupted situations. We propose a problem-solution process combined with data visualisation. It relies on the observation of operational agents, creativity sessions and the development of user scenarios. The process is illustrated for a case study on one of the commuter line of the Paris metropolitan area. Results encompass three different layers and multiple interlinked views to explore spatial patterns, spatio-temporal clusters and passenger flows. We join several transport network indicators whether are measured, forecasted, or estimated. A user scenario is developed to investigate disrupted situations in public transport.

scholarly journals Hybrid Verification Technique for Decision-Making of Self-Driving Vehicles

2021 ◽  
Vol 10 (3) ◽  
pp. 42
Author(s):  
Mohammed Al-Nuaimi ◽  
Sapto Wibowo ◽  
Hongyang Qu ◽  
Jonathan Aitken ◽  
Sandor Veres
Keyword(s):  
Decision Making ◽  
Autonomous Vehicle ◽  
Autonomous Driving ◽  
Practical Implementation ◽  
Model Checker ◽  
Multi Agent Systems ◽  
Time Operation ◽  
Bdi Agent ◽  
Perception System ◽  
Probability Of Success

The evolution of driving technology has recently progressed from active safety features and ADAS systems to fully sensor-guided autonomous driving. Bringing such a vehicle to market requires not only simulation and testing but formal verification to account for all possible traffic scenarios. A new verification approach, which combines the use of two well-known model checkers: model checker for multi-agent systems (MCMAS) and probabilistic model checker (PRISM), is presented for this purpose. The overall structure of our autonomous vehicle (AV) system consists of: (1) A perception system of sensors that feeds data into (2) a rational agent (RA) based on a belief–desire–intention (BDI) architecture, which uses a model of the environment and is connected to the RA for verification of decision-making, and (3) a feedback control systems for following a self-planned path. MCMAS is used to check the consistency and stability of the BDI agent logic during design-time. PRISM is used to provide the RA with the probability of success while it decides to take action during run-time operation. This allows the RA to select movements of the highest probability of success from several generated alternatives. This framework has been tested on a new AV software platform built using the robot operating system (ROS) and virtual reality (VR) Gazebo Simulator. It also includes a parking lot scenario to test the feasibility of this approach in a realistic environment. A practical implementation of the AV system was also carried out on the experimental testbed.

Low Velocity Impact Response of Composite/Sandwich Structures

2016 ◽  
Vol 725 ◽  
pp. 127-131 ◽  
Author(s):  
Kumar V. Akshaj ◽  
P. Surya ◽  
M.K. Pandit
Keyword(s):  
Sandwich Structures ◽  
Weight Ratio ◽  
Impact Response ◽  
Low Velocity Impact ◽  
Core Material ◽  
Design Parameters ◽  
Low Velocity ◽  
Velocity Impact ◽  
Composite Sandwich ◽  
Set Up

Dent resistance of structures is one of the important design parameters to consider in automotive, aerospace, packaging and transportation of fragile goods, civil engineering and marine industries. It is important to study the dynamic impact response of various combinations of skin and core materials which can provide desired fracture toughness and highest strength to weight ratio for such applications. This paper discusses the low velocity impact response of sandwich structures having unique combination of mild steel as skin material bonded to thermoplastics/PU foam as core material. HDPE, LDPE and polypropylene were the choice of thermoplastics and an optimum combination of materials for the sandwich structure was evaluated using drop-weight experimental set up. It is observed that LDPE is the best choice of core material for the sandwich structures considered.

Historic city, tourism performance and development: The balance of social behaviours in the city of Santiago de Compostela (Spain)

2016 ◽  
Vol 16 (3) ◽  
pp. 282-293 ◽  
Author(s):  
Belén Mª Castro Fernández ◽  
Rubén Camilo Lois González ◽  
Lucrezia Lopez
Keyword(s):  
Numerical Data ◽  
City Centre ◽  
City Development ◽  
Santiago De Compostela ◽  
Final Destination ◽  
City Tourism ◽  
Set Up ◽  
Historic City ◽  
The City ◽  
The Way

Santiago de Compostela is an iconic place. From the 9th century through to the present day the city has acted as the final destination of a major pilgrimage route named after it. In the article we ask ourselves how the contemporary reinvention of the pilgrimage and pilgrimages on the Way of St. James has boosted tourism development in the city. Development has been concentrated in the historic city centre and in the area around the cathedral. The importance of tourism has transformed the significance of the city itself, which acquires a magical component as a place of arrival and encounter for all kinds of visitors. The historic city has been set up in the 20th century as a destination for the Way and for cultural tourism. The buildings, particularly those connected with the pilgrimage route, become highly attractive and symbolic places and tourists carry out a number of rituals in them. They travel and enjoy Santiago as a unique experience. The study of tourism and of the tourist transformation of Santiago de Compostela is undertaken using a qualitative and quantitative method. The article analyses the heritage and symbolic value of the historic centre, together with the growth of its tourism activities. Numerical data are also provided on the perceptions and behaviour of visitors using surveys carried out by the city's Tourism Observatory.

Numerical Simulation of Compressive Residual Strength for Damaged Composite Laminates

2012 ◽  
Vol 525-526 ◽  
pp. 385-388
Author(s):  
Tian Jiao Qu ◽  
Xi Tao Zheng ◽  
Di Zhang
Keyword(s):  
Composite Laminates ◽  
Impact Test ◽  
Compressive Load ◽  
Low Velocity Impact ◽  
Fiber Breakage ◽  
Low Velocity ◽  
Appearance Time ◽  
Finite Element Software ◽  
Set Up ◽  
Good Agreement

After the low-velocity impact test of composite laminates of T800/BA9916, CAI test and compression test of laminates with a hole have been carried out. Two types of models were set up by the finite element software ABAQUS respectively. The FEA results were good agreement with the testing results. The investigation of models with a hole indicates that the appearance time of ultimate compressive load is earlier than that of fiber breakage expanding to boundary. Moreover, the diameter and the depth of blind hole significantly influence the ultimate compressive load.

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