text:   Autonomy",5,"['New paper at IEEE Transactions on Control of Network Systems:  <LINK>\n\nIn traffic, many equilibria exist (see the GIF, the flow is the same in all 5 configs). When all drivers select their routes selfishly, we often end up in congested equilibria. (1/n) <LINK>', 'Autonomous cars may alleviate this problem, as they can keep shorter headways with the car they are following. Besides, travel times might be further reduced if some vehicles (or drivers) are altruistic. But, does altruism really exist? (2/n)', 'Luckily, financial incentives (through ride-hailing services like Uber &amp; Lyft) can give the same benefits of altruism! These services should give multiple options to the users: ""do you prefer a cheaper but slower route or are you willing to pay more to get there faster?"" (3/n)', ""Using preference-based learning techniques helps learn passengers' price/latency tradeoff. The services should then use this information to optimize route prices to minimize congestion. In simulations, this approach decreased travel times up to 50%. (4/n)"", 'This is an extension of our earlier works presented at WAFR 2018 (https://t.co/k9lXsPlF0O) and CDC 2019 (https://t.co/vs2NWzpVgW) with Daniel A. Lazar, Ramtin Pedarsani and @DorsaSadigh. (5/5)']",21,06,1194