Autonomous Vehicle Interaction Control Software, Big Geospatial Data Analytics, and Networked Driverless Technologies in Smart Sustainable Urban Transport Systems

The smart city transport concept is viewed as a future vision aiming to undertake investigations on the urban planning process and to construct policy-pathways for achieving future targets. Therefore, this paper sets out three visions for the year 2035 which bring about a radical change in the level of green transport systems (often called walking, cycling, and public transport) in Turkish urban areas. A participatory visioning technique was structured according to a three-stage technique: (i) Extensive online comprehensive survey, in which potential transport measures were researched for their relevance in promoting smart transport systems in future Turkish urban areas; (ii) semi-structured interviews, where transport strategy suggestions were developed in the context of the possible imaginary urban areas and their associated contextual description of the imaginary urban areas for each vision; (iii) participatory workshops, where an innovative method was developed to explore various creative future choices and alternatives. Overall, this paper indicates that the content of the future smart transport visions was reasonable, but such visions need a considerable degree of consensus and radical approaches for tackling them. The findings offer invaluable insights to researchers inquiring about the smart transport field, and policy-makers considering applying those into practice in their local urban areas.

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Automated Search-Based Robustness Testing for Autonomous Vehicle Software

Modelling and Simulation in Engineering ◽

10.1155/2016/5309348 ◽

2016 ◽

Vol 2016 ◽

pp. 1-15 ◽

Cited By ~ 4

Author(s):

Kevin M. Betts ◽

Mikel D. Petty

Keyword(s):

Monte Carlo ◽

Performance Metrics ◽

Initial Conditions ◽

Autonomous Vehicle ◽

Vehicle Control ◽

Test Case ◽

Test Cases ◽

Control Software ◽

Robustness Testing ◽

Testing Techniques

Autonomous systems must successfully operate in complex time-varying spatial environments even when dealing with system faults that may occur during a mission. Consequently, evaluating the robustness, or ability to operate correctly under unexpected conditions, of autonomous vehicle control software is an increasingly important issue in software testing. New methods to automatically generate test cases for robustness testing of autonomous vehicle control software in closed-loop simulation are needed. Search-based testing techniques were used to automatically generate test cases, consisting of initial conditions and fault sequences, intended to challenge the control software more than test cases generated using current methods. Two different search-based testing methods, genetic algorithms and surrogate-based optimization, were used to generate test cases for a simulated unmanned aerial vehicle attempting to fly through an entryway. The effectiveness of the search-based methods in generating challenging test cases was compared to both a truth reference (full combinatorial testing) and the method most commonly used today (Monte Carlo testing). The search-based testing techniques demonstrated better performance than Monte Carlo testing for both of the test case generation performance metrics: (1) finding the single most challenging test case and (2) finding the set of fifty test cases with the highest mean degree of challenge.

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Review of the Book Geographical and Urban Transport Systems (Banos, A. and Thevenin, T.) [Book Review]

IEEE Intelligent Transportation Systems Magazine ◽

10.1109/mits.2013.2250834 ◽

2013 ◽

Vol 5 (2) ◽

pp. 74-75

Author(s):

Christos-Nikolaos Anagnostopoulos

Keyword(s):

Urban Transport ◽

Transport Systems

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Cascading failure with preferential redistribution on bus–subway coupled network

International Journal of Modern Physics C ◽

10.1142/s0129183121501035 ◽

2021 ◽

pp. 2150103

Author(s):

Sonnam Jo ◽

Liang Gao ◽

Feng Liu ◽

Menghui Li ◽

Zhesi Shen ◽

...

Keyword(s):

Public Transport ◽

Failure Process ◽

Vital Role ◽

Urban Transport ◽

Traffic Load ◽

Transport Systems ◽

Cascading Failure ◽

Passenger Flow ◽

Urban Public Transport ◽

Overall Performance

Robustness studies on integrated urban public transport networks have attracted growing attention in recent years due to the significant influence on the overall performance of urban transport system. In this paper, topological properties and robustness of a bus–subway coupled network in Beijing, composed of both bus and subway networks as well as their interactions, are analyzed. Three new models depicting cascading failure processes on the coupled network are proposed based on an existing binary influence modeling approach. Simulation results show that the proposed models are more accurate than the existing method in reflecting actual passenger flow redistribution in the cascading failure process. Moreover, the traffic load influence between nodes also plays a vital role in the robustness of the network. The proposed models and derived results can be utilized to improve the robustness of integrated urban public transport systems in traffic planning.

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