Google Maps Route Color Mapping with SUMO Simulator

Mena, Ricardo I.; Zumarraga, Felipe; Urquiza, Luis; Calderón, Xavier

doi:10.1109/ici2st.2019.00020

Cited by 4 publications

(2 citation statements)

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“…SUMO (Simulation of Urban Mobility) [10] is a microscopic traffic simulator that is developed to process complex and large road networks. SUMO is widely used in many applications including traffic flow modeling [11] and color mapping Google Maps routes [12]. Aimsun [13] is a traffic simulator for modeling smart mobility.…”

Section: Background and Related Workmentioning

confidence: 99%

RegTraffic: A Regression based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization

Mostafi

Alghamdi

Elgazzar

2022

2022 International Joint Conference on Neural Networks (IJCNN)

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Traffic simulation is a great tool to demonstrate complex traffic structures which can be extremely useful for the planning, development, and management of road traffic networks. Current traffic simulators offer limited features when it comes to interactive and adaptive traffic modeling. This paper presents RegTraffic, a novel interactive traffic simulator that integrates dynamic regression-based spatiotemporal traffic analysis to predict congestion of intercorrelated road segments. The simulator models traffic congestion of road segments depending on neighboring road links and temporal features of the dynamic traffic flow. The simulator provides a user-friendly web interface to select road segments of interest, receive user-defined traffic parameters, and visualize the traffic for the flow of correlated road links based on the user inputs and the underlying correlation of these road links. Performance evaluation shows that RegTraffic can effectively predict traffic congestion with a Mean Squared Error of 1.3 Km/h and a Root Mean Squared Error of 1.71 Km/h. RegTraffic can effectively simulate the results and provide visualization on interactive geographical maps.

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Section: Background and Related Workmentioning

confidence: 99%

RegTraffic: A Regression based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization

Mostafi

Alghamdi

Elgazzar

2022

2022 International Joint Conference on Neural Networks (IJCNN)

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“…This section evaluates the overall performance of the MDTCS algorithm from multiple perspectives. First, the detailed information of the VANETs scene is listed, that the traffic data is generated by Simulating Urban Mobility (SUMO) to ensure the effectiveness of the simulation [ 26 ]. Then, this section lists a series of performance indicators to explain the stability of the MDTCS algorithm on data transmission communication.…”

Section: Performance Evaluationmentioning

confidence: 99%

An Adaptive Multi-Channel Cooperative Data Transmission Scheduling in VANETs

Zhang

Yuan

et al. 2020

Sensors

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The Internet of Vehicle (IoV) technology is one of the most important technologies of modern intelligent transportation. The data transmission scheduling method is a research hotspot in the technology of IoV. It is a challenge to ensure the stability of data transmission due to fast network topology changes, high data transmission delays, and some other reasons. Aiming at the above problems, a multi-channel data transmission cooperative scheduling algorithm is proposed. First, construct a feasible interference map based on the data items sent and received by vehicles in the road scene. Second, assign channels to the nodes in the interference map based on the Signal-to-Interference-Noise-Ratio (SINR). Finally, the optimal multi-channel data transmission cooperative scheduling scheme is achieved through the ISing model. Simulation results show that compared with the traditional algorithm, the network service capacity is increased by about 31% and the service delay is reduced by about 20%. It ensures that emergency data is preferentially transmitted to the target vehicle and the maximum weighted service capacity of the network.

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Performance of Vehicle Ad-Hoc Networks (VANETs) Operating in a Hostile Environment

Gorine

Adeyemo

2023

SN COMPUT. SCI.

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Google Maps Route Color Mapping with SUMO Simulator

Cited by 4 publications

References 0 publications

RegTraffic: A Regression based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization

RegTraffic: A Regression based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization

An Adaptive Multi-Channel Cooperative Data Transmission Scheduling in VANETs

Performance of Vehicle Ad-Hoc Networks (VANETs) Operating in a Hostile Environment

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