Sensitivity Analysis on Regularity Based Driver Advisory Systems

in 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (2020, December)

Enhancing Bus Holding Control Using Cooperative ITS

in IEEE Transactions on Intelligent Transportation Systems (2020), 21(4), 1767-1778

Towards Optimized Deployment of Electric Bus Systems Using Cooperative ITS

Poster (2019, January)

In this paper we analyze the impact of using cooperative intelligent transportation systems (C-ITS) to manage electrical bus systems. A simulation-based study is presented where three control strategies ... [more ▼]

In this paper we analyze the impact of using cooperative intelligent transportation systems (C-ITS) to manage electrical bus systems. A simulation-based study is presented where three control strategies are used to regulate the operations of a line, namely bus holding, Green Light Optimal Dwell Time Adaptation (GLODTA) and Transit Signal Priority (TSP). The results show, using a realistic scenario of a major line in Luxembourg City, that buses are efficiently operated without necessarily providing additional priority to public transport, hence without negatively affecting the capacity of the private vehicles system. Benefits in terms of headway regulations, energy consumption and travel time variance reductions are quantified. [less ▲]

Novel C-ITS support for Electric Buses with Opportunity Charging

in Proceedings of IEEE-ITS Conference (2017)

A Survey of Cooperative ITS for Next Generation Public Transport Systems

in Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on (2016, November)

Robust control strategy for minimising energy consumption of electric buses using cooperative ITS technology

Scientific Conference (2016)

Mitigating flash crowd effect using connected vehicle technology

in Vehicular Communications (2015), 2(4),

A Flash Crowd Effect (FCE) occurs when in the case of non-recurring congestion a large portion of drivers follows similar re-routing advice. Consequently, congestion is transferred from one road to ... [more ▼]

A Flash Crowd Effect (FCE) occurs when in the case of non-recurring congestion a large portion of drivers follows similar re-routing advice. Consequently, congestion is transferred from one road to another. Coping with the FCE is challenging, especially if the congestion results from a temporary loss of capacity (e.g. due to a traffic incident). The existing route guidance systems do not address FCE, as they either do not consider the effects of guidance on the rest of the road network, or predict link travel times based on the number of vehicles travelling on the link, which in the case of the loss of capacity is unreliable. We demonstrate that the FCE can be addressed in a distributed way with Vehicle-to-Vehicle (V2V) communication provided by Connected Vehicle (CV) technology. The proposed in-vehicle TrafficEQ system provides vehicles with mixed route guidance strategy—i.e. a route is autonomously chosen by the vehicle with a probability that is inversely proportional to the latest reported travel time on the route. Real-time travel time information is crowd-sourced by TrafficEQ users. Using realistic simulations of incident-related capacity drops on a classic two-route highway example and a realistic urban road network, we demonstrate that TrafficEQ can address the FCE by reducing travel time oscillations among the alternative routes. The system's drawbacks—in particular the occasional necessity of providing incentives to follow the guidance—are discussed. [less ▲]