scholarly journals Fatigue Assessment of Highway Bridges under Traffic Loading Using Microscopic Traffic Simulation

2020 ◽  
Author(s):  
Gengwen Zhao ◽  
Chung C. Fu ◽  
Yang Lu ◽  
Timothy Saad
Keyword(s):  
Traffic Simulation ◽  
Highway Bridges ◽  
Traffic Loading ◽  
Fatigue Assessment ◽  
Microscopic Traffic Simulation

scholarly journals Fuzzy Logic Based Microscopic Traffic Simulation for Urban Transport Policy Evaluation

2009 ◽  
Vol 26 (0) ◽  
pp. 923-932
Author(s):  
Masashi OKUSHIMA ◽  
Takamasa AKIYAMA ◽  
Madhu ERRAMPALLI
Keyword(s):  
Fuzzy Logic ◽  
Policy Evaluation ◽  
Traffic Simulation ◽  
Transport Policy ◽  
Urban Transport ◽  
Microscopic Traffic Simulation

An Implementation Framework for Integrating Regional Planning Model with Microscopic Traffic Simulation

Logistics ◽  
2009 ◽  
Author(s):  
Guy Rousseau ◽  
Wolfgang Scherr ◽  
Fang Yuan ◽  
Cherry Xiong
Keyword(s):  
Regional Planning ◽  
Traffic Simulation ◽  
Planning Model ◽  
Implementation Framework ◽  
Microscopic Traffic Simulation

scholarly journals Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation

2018 ◽  
Author(s):  
Lei Zhu ◽  
Venu Garikapati ◽  
Yuche Chen ◽  
Yi Hou ◽  
H. M. Abdul Aziz ◽  
...  
Keyword(s):  
Traffic Simulation ◽  
Microscopic Traffic Simulation

scholarly journals A Study on Climbing Lane in Freeway Uphill Segment by Developing a Microscopic Traffic Simulation Model

2018 ◽  
Vol 36 (4) ◽  
pp. 263-273
Author(s):  
Jonghae SUH ◽  
Seongjin CHOI ◽  
Hwasoo YEO
Keyword(s):  
Simulation Model ◽  
Traffic Simulation ◽  
Microscopic Traffic Simulation

scholarly journals Coupling traffic and driving simulation: Taking advantage of SUMO and SILAB together

10.29007/k2nt ◽  
2018 ◽  
Author(s):  
Mirko Barthauer ◽  
Alexander Hafner
Keyword(s):  
Traffic Simulation ◽  
Interdisciplinary Collaboration ◽  
Driving Simulation ◽  
Coupling Mechanism ◽  
Traffic Light ◽  
Microscopic Traffic Simulation ◽  
Testing Environment ◽  
Traffic System ◽  
System A ◽  
Driving Assistance

Driving simulators provide a safe testing environment for reactions of human drivers in traffic. Traffic simulations traditionally focus on deducing infrastructure efficiency mea- sures. Both types of simulation model similar aspects but differ in scale and detail. They mostly target different research domains, too, like psychologists, automotive or traffic engi- neers. Current traffic studies tend to simplify driving assistance systems a lot. As those get developed further, interdisciplinary collaboration may help to model their impact on the traffic system. A short literature overview of simulation couplings in this field, their appli- cations and challenges is given. In this work, a coupling mechanism is being developed to run the driving simulation SILAB and the microscopic traffic simulation SUMO in parallel. Components include a mutual traffic participant exchange, traffic light states transfer, and an automatic road network converter. Here, the technical concept of a closed loop as well as the planned application are presented. The human-driven car from SILAB is placed into SUMO and makes the other vehicles react, and vice versa: SUMO-controlled vehi- cles act as surrounding traffic in SILAB. Firstly, this facilitates the driving simulation of urban road networks with many random traffic participants. Secondly, microscopic traffic simulation may profit from the insights gained from the test persons driving in SILAB.

Dynamic demand estimation and microscopic traffic simulation of a university campus transportation network

2012 ◽  
Vol 35 (4) ◽  
pp. 449-467 ◽  
Author(s):  
Shan Huang ◽  
Liya Guo ◽  
Yan Yang ◽  
Irene Casas ◽  
Adel W. Sadek
Keyword(s):  
Traffic Simulation ◽  
Transportation Network ◽  
Demand Estimation ◽  
University Campus ◽  
Dynamic Demand ◽  
Microscopic Traffic Simulation
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