Implementing virtual traffic lights with partial penetration: a game-theoretic approach

Tonguz, O.K.; Viriyasitavat, Wantanee; Roldan, Juan M.

doi:10.1109/mcom.2014.6979971

Cited by 15 publications

(6 citation statements)

References 11 publications

(20 reference statements)

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“…The same scheme can also be applied to the VTL-PIC scheme proposed in this article in scenarios where the technology penetration rate is less than 100 percent. Similar to the results shown in [12], depending on the route that needs to be taken by an EV, the benefit of the proposed VTL-PIC scheme might signifi cantly degrade when the penetration rate is less than 100 percent.…”

Section: Discussionsupporting

confidence: 75%

“…More specifically, the proposed priority management scheme in this article assumes the full adoption of the VTL scheme by all the vehicles in an urban area. While such a fundamental paradigm shift can be brought about by the Departments of Transportation (DoTs) of different countries based on new legislation, our ongoing work shows that it might be possi- ble to deploy VTL partially on designated routes only; for example, during rush hours using an approach similar to the high occupancy vehicle (HOV) concept [12]. In this HOV-like concept, several streets are exclusively reserved for VTL vehicles and intersections on these streets adopt VTL as the intersection control management [12].…”

Section: Discussionmentioning

confidence: 99%

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A self-organizing network approach to priority management at intersections

Tonguz

Viriyasitavat

2016

IEEE Commun. Mag.

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Prior work has shown that a biologically inspired approach can solve some of the fundamental transportation problems in urban areas. As one instance of this approach, it was shown that vehicles equipped with dedicated short-range communications (DSRC) radios can manage traffic in urban areas in a completely self-organized manner similar to self-organizing biological systems (e.g., ants, birds, and fish). This scheme is known as virtual traffic lights, and its success is enabled by the design of local rules which allow vehicles approaching an intersection to resolve the ensuing conflict in a seamless and self-organized manner without the need for any infrastructure. One important safety issue in urban traffic is how to manage the presence of emergency vehicles such as ambulances and fire trucks. In this article, it is shown that by designing a different set of local rules, one can give priority to emergency vehicles at every intersection, thus expediting their response times.

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Section: Discussionsupporting

confidence: 75%

Section: Discussionmentioning

confidence: 99%

A self-organizing network approach to priority management at intersections

Tonguz

Viriyasitavat

2016

IEEE Commun. Mag.

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“…Hence, a deployment issue is grown in deciding what is the most appropriate representation for such assumption. Another attempt done in [ 3 ] to overcome the issue of PPR using game theory approach. Its results show that by using a dynamic strategy with the penetration ratio, one can provide strong incentives to drivers to adopt VTL technology.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Traffic Control with Vehicle-to-Everything Communication

Salman

Özdemir

Çelebi

2018

Sensors

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Traffic signal control (TSC) with vehicle-to everything (V2X) communication can be a very efficient solution to traffic congestion problem. Ratio of vehicles equipped with V2X communication capability in the traffic to the total number of vehicles (called penetration rate PR) is still low, thus V2X based TSC systems need to be supported by some other mechanisms. PR is the major factor that affects the quality of TSC process along with the evaluation interval. Quality of the TSC in each direction is a function of overall TSC quality of an intersection. Hence, quality evaluation of each direction should follow the evaluation of the overall intersection. Computational intelligence, more specifically swarm algorithm, has been recently used in this field in a European Framework Program FP7 supported project called COLOMBO. In this paper, using COLOMBO framework, further investigations have been done and two new methodologies using simple and fuzzy logic have been proposed. To evaluate the performance of our proposed methods, a comparison with COLOMBOs approach has been realized. The results reveal that TSC problem can be solved as a logical problem rather than an optimization problem. Performance of the proposed approaches is good enough to be suggested for future work under realistic scenarios even under low PR.

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“…Several interesting solutions for traffic surveillance solutions are available in the recent related literature, but tend to work under the strongly simplifying assumption of complete penetration rate of communication capabilities in the considered vehicle population [ 5 ] or, when considering partial penetration rates, they assume that the rate is statically known and that communication-enabled vehicles are uniformly distributed over the road network [ 6 ]. These assumptions are far from reality in any case of practical industrial applicability.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Vehicular Traffic Monitoring in Realistic Low Penetration Scenarios: The COLOMBO Experience

Bellavista

Caselli

Corradi

2018

Sensors

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The relevance of effective and efficient solutions for vehicle traffic surveillance is widely recognized in order to enable advanced strategies for traffic management, e.g., based on dynamically adaptive and decentralized traffic light management. However, most related solutions in the literature, based on the powerful enabler of cooperative vehicular communications, assume the complete penetration rate of connectivity/communication technologies (and willingness to participate in the collaborative surveillance service) over the targeted vehicle population, thus making them not applicable nowadays. The paper originally proposes an innovative solution for cooperative traffic surveillance based on vehicular communications capable of: (i) working with low penetration rates of the proposed technology and (ii) of collecting a large set of monitoring data about vehicle mobility in targeted areas of interest. The paper presents insights and lessons learnt from the design and implementation work of the proposed solution. Moreover, it reports extensive performance evaluation results collected on realistic simulation scenarios based on the usage of iTETRIS with real traces of vehicular traffic of the city of Bologna. The reported results show the capability of our proposal to consistently estimate the real vehicular traffic even with low penetration rates of our solution (only 10%).

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Implementing virtual traffic lights with partial penetration: a game-theoretic approach

Cited by 15 publications

References 11 publications

A self-organizing network approach to priority management at intersections

A self-organizing network approach to priority management at intersections

Fuzzy Traffic Control with Vehicle-to-Everything Communication

Cooperative Vehicular Traffic Monitoring in Realistic Low Penetration Scenarios: The COLOMBO Experience

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