PEAKHOUR NO INTERFACES DRIVERS

Space in streets is a shared-resource system where individual users act independently according to their own self-interest, behaving contrary to the common good by depleting that resource. Second, demand management faces the ‘tragedy of the commons’. One limitation may be that the main set of infrastructures in urban transportation planning of mature cities were developed in the 1970s, before the information age, and relied on the results of travel diaries, limiting the communication with the majority of the actual travellers. providing incentives to reduce global costs regarding our route choices. Nowadays, the most popular information platforms, such as Waze or Google Transit Feeds, give us individual information about travel times but do not take into account global information, e.g. But much less is done to develop real-time information platforms that provide the value of choices for the social good. To reach these goals, plans today try to promote the use of bus rapid transit (BRT), congestion charging or bike sharing. In their best attempts, goals of an urban transportation plan seek to: (i) avoid long and unnecessary motorized travel, (ii) shift the movement of people to socially efficient modes, such as walking, biking and public transit, and (iii) improve the technology and operational management of transportation services. This becomes a more pressing need when preparing for large events, which unusually stress the use of the available infrastructures and put at risk the overall success of the event. Given this impact, master plans of urban transportation need to be technically sound, economically affordable and publicly acceptable. It affects total energy use, equity, air pollution and urban sprawling. Results are presented online for evaluation by the public and policymakers ( (last accessed 3 September 2017)).ĭaily traffic has important implications for the functioning of our cities. Interestingly, we show that (i) following new route alternatives during the event with individual shortest times can save more collective travel time than keeping the routine routes used before the event, uncovering the positive value of information technologies during events (ii) with only a small proportion of people selected from specific areas switching from driving to public transport, the collective travel time can be reduced to a great extent.

Finally, we gather information on the trips that contribute the most to the global congestion which could be redirected from vehicles to transit.

PEAKHOUR NO INTERFACES DRIVERS

Next, we evaluate different route choice scenarios for drivers during the peak hours. To that end, we integrate data from mobile phones, Airbnb, Waze and transit information, with game schedules and expected attendance in each venue. In the context of the Olympic Games in Rio de Janeiro, we first predict the expected increase in traffic. In this paper, we integrate, for the first time, big data resources to estimate the impact of events on traffic and propose target strategies for collective good at the urban scale. During large events, the traffic inconveniences in large cities are unusually high, yet temporary, and the entire population may be more willing to adopt collective recommendations for collective benefits in traffic. To that end we need travel demand estimates and target strategies to reduce the traffic volume from the congested roads during peak hours in a feasible way. Information technologies today can inform each of us about the route with the shortest time, but they do not contain incentives to manage travellers such that we all get collective benefits in travel times.

Peakhour no interfaces