S.T. Rakkesh’s research while affiliated with University of Colombo and other places

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Publications (8)


Enhancing Traffic Simulations Analysis Efficacy using Multiperspective Heterogeneous Toolset
  • Conference Paper

March 2023

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8 Reads

S.T. Rakkesh

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R.A.C. Ranasinghe


Equipoising multi-modal traffic environments using vehicular ad-hoc networks

December 2018

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44 Reads

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2 Citations

International Journal on Advances in ICT for Emerging Regions (ICTer)

Competent transportation infrastructure is one of the prominent factors influencing sustainable economic growth and appreciable living standard in a country. Urban cities habitually equipped with multi-modal traffic flows which encompass various modes of transportation mechanisms such as walking, skating, cycling, motorcycles, three wheelers, private passenger cars, public transport modes like buses or trains, etc. Efficient urban traffic planning has become an exigent task involving complex behavioural analysis of multi-modal traffic scenarios. One possible way of enhancing the travel experience of commuters is by revolutionizing the vehicular communication strategies to devise intelligent routing approaches. Vehicular ad-hoc networks (VANETs) are a special type of mobile ad-hoc networks (MANETs) which can be used to define intelligent conciliator interfaces for vehicle to vehicle (V2V) or vehicle to infrastructure (V2I) communication needs. In this paper, we propose an approach for equilibrating multi-modal traffic environments after road block situations occur through VANET scenario simulations. For this research, we have used OMNeT++ network simulator to simulate the mobile network involved and SUMO microscopic traffic simulator to simulate vehicular movements in parallel and Veins framework as a bridging interface between OMNeT++ and SUMO. We have validated our solution with two heterogeneous metropolitan areas located in the cities of Kandy and Colombo in Sri Lanka. Our solution achieved lower values for waiting time and trip duration of vehicles and qualitatively improving the traffic flow when comparing against the absence of equilibrating module.





Effective urban transport planning using multi-modal traffic simulations approach

April 2016

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58 Reads

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7 Citations

Multi-modal transportation planning refers to traffic analysis that considers various modes of transportation mechanisms such as walking, cycling, motorcycles, private passenger vehicles, delivery cargo vehicles, public transportation modes like buses or trains, etc. Effective city traffic planning has become a challenging task involving complex behavioral analysis of multi-modal traffic scenarios. New ventures of research solutions and effective multi-modal traffic strategies should be explored to mitigate ever-rising issues related to traffic congestion. Before new solutions are to be deployed on real traffic environments, it requires recurring experiments to be carried out and comprehensive testing cycles to be passed through. Hence, simulators play a crucial supporting role by emulating real environments during trials. In this paper, we investigate interdependencies and effects between different transportation modes by simulating pedestrian movements, different private transport modes and public transport avenues and propose an effective transport planning strategy using multi-modal simulation approach. We have selected Colombo city in Sri Lanka as our study region and used SUMO (Simulation of Urban MObility), a well-known microscopic traffic simulator for simulations. Our experiment results show that there are supporting strong evidences exist that interdependencies between multi-modal transportation modes contribute significantly to effective urban traffic planning.


Fig 2. Depicting initial input parameters for the two research scenarios.  
Fig 3. Depicting " detector agents " placed in the simulation environment near an intersection of our selected research region in Colombo, Sri Lanka.  
Fig 5. Pseudo code for the PSO algorithm used in the solution model.  
Fig 7 1. A1, A2 depicts the vehicles waiting time duration with the SUMO's default traffic light cycle generator for Colombo and Chennai respectively. 2. B1, B2 depicts the vehicles waiting time duration with our Multi- Agent Systems (MAS) solution model for Colombo and Chennai respectively. 3. C1, C2 depicts the vehicles waiting time duration with our Swarm Intelligence (SI) solution model for Colombo and Chennai respectively.  
Fig 8 -A, B and C depicts the general vehicle flow near Dudley Senanayake Mawatha, Colombo with the SUMO's default traffic light cycle generator, our Multi-Agent Systems (MAS) approach and Swarm Intelligence (SI) approach respectively.  

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Traffic light optimization solutions using multimodal, distributed and adaptive approaches
  • Conference Paper
  • Full-text available

August 2015

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1,323 Reads

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7 Citations

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Citations (6)


... Veins [27], with its TraCI interface, is a well-known example of this. Veins is a mediation framework between OMNetT++ network simulator and Simulation in Urban mobility (SUMO) traffic simulator [28]. The mediation framework can also contain, integrate with, and extend other mediation frameworks that enable support features and open complete simulation power analysis. ...

Reference:

A Survey on Simulation Efforts of 4G/LTE-based Cellular and Hybrid V2X Communications
Equipoising multi-modal traffic environments using vehicular ad-hoc networks
  • Citing Article
  • December 2018

International Journal on Advances in ICT for Emerging Regions (ICTer)

... Chiedu, N.M. and Keyvan, H.Z. studied a stability analysis of CACC-based platoons [13]. Rakkesh et al. studied a homogenous platoon composed of eight vehicles to compare CACC and ACC systems, and it was proven that the CACC system had better vehicle tracking and energy saving performance [14]. Zegers et al. designed a multi-layer control architecture based on CACC, in order to achieve the stability of and the expected spacing between vehicles of the platoon [15]. ...

An intelligent highway traffic model using cooperative vehicle platooning techniques
  • Citing Conference Paper
  • May 2017

... Abnormal vehicle events can be automatically captured by a semi-supervised mixture of a Gaussian Hidden Markov Model [18], or unsupervised learning method [19]. Furthermore, an abnormal event such as speed violation can be detected in real-time monitoring of those videos [20]. ...

Simulation of real-time vehicle speed violation detection using complex event processing
  • Citing Conference Paper
  • December 2016

... By using buses as the major relay to deliver messages, a bus-trajectory-based street-centric (BTSC) routing algorithm was proposed by using two novel concepts, i.e., path consistency probability and the street consistency probability [91]. A vehicle rerouting mechanism was proposed for accident situations via scenario simulations of VANET [92]. A unicast routing protocol based on the quality of services was proposed by using an artificial bee colony algorithm, and clustering algorithm for vehicular networks [93]. ...

A decentralized vehicle re-routing approach using vehicular ad-hoc networks
  • Citing Conference Paper
  • September 2016

... Finally, it sends to the users traffic alerts based on a spatiotemporal analysis of the classified segments. Each traffic alert contains the affected area, a traffic state (e.g., incident, slowed traffic, blocked traffic, data from interconnected vehicles and GPS (Cárdenas-Benítez et al., 2016), real-time monitoring sensors (Rakkesh, Weerasinghe, & Ranasinghe, 2016), historical data on congestion and road situations in the city (Elhatri, Tahifa, & Boumhidi, 2017) and traffic congestion metrics (Batur & Koç, 2017)it is vital to achieve and maintain social behavioral change for shifting our modes of mobility from inefficient, wasteful and motorized means to cleaner, greener, healthier and more economic means such as walking, cycling and public transportation in addition to smart use of land, intelligent transportation systems, and clean and green vehicles. This study is based on a critical review of literature in order to establish a framework of social behavioral change policies, particularly developed and tested for urban mobility and traffic congestion. ...

Traffic light optimization solutions using multimodal, distributed and adaptive approaches

... Road facilities that can be analyzed for performance are only at signalized intersections, non-signaled intersections, interlocks and roundabouts, simple interchanges, urban roads, out-of-town roads, and expressways. VISSIM is a multimodal microscopic flow traffic simulation software that can analyze the operation of private vehicles and public transportation with problems such as lane configuration, vehicle composition, traffic signals and others (Ullah et al., 2021); (Ji, 2020); (Rakkesh, Weerasinghe, & Ranasinghe, 2016), so VISSIM becomes a useful tool for the evaluation of various alternative steps based on transportation engineering measures and effectiveness planning (Hendrayati, Askolani, Achyarsyah, Sudrajat, & Syahidah, 2020); (Meng, Zhou, J., Liu, B., & Mao, 2021); (Kurniawan & Putritama, 2020). VISSIM was developed by PTV (Planung Transport Verkehr AG) in Karlsruhe, Germany. ...

Effective urban transport planning using multi-modal traffic simulations approach
  • Citing Conference Paper
  • April 2016