some references corrected.

duckietown · Oct 21, 2018 · 695c0e2 · 695c0e2
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diff --git a/book/AIDO/10_motivation/46_task_amod.md b/book/AIDO/10_motivation/46_task_amod.md
@@ -17,7 +17,7 @@ Operating AMoD systems is a challenging task that requires complex decision-maki
 
 ## Platform
 
-AMoDeus is an open-source software package for the accurate and quantitative analysis of autonomous mobility-on-demand systems. It internally utilizes the agent-based transportation simulator [MATSim](https://www.matsim.org/) \cite{Matsim-BASE}. In its inner loop, it simulates the traffic in a city on a queuing network which takes into account congestion and network effects inherent to transportation systems. In its outer loop, it enables the agents to change their transportation behavior based on arbitrary utility functions that may include tolerance to delay, travel time, cost etc. In this challenge we will work with the inner loop and a static demand profile. A possible extension to dynamic demand is expected to follow in a next iteration of the challenge.
+AMoDeus is an open-source software package for the accurate and quantitative analysis of autonomous mobility-on-demand systems. It internally utilizes the agent-based transportation simulator [MATSim](https://www.matsim.org/) \cite{horni2016multi}. In its inner loop, it simulates the traffic in a city on a queuing network which takes into account congestion and network effects inherent to transportation systems. In its outer loop, it enables the agents to change their transportation behavior based on arbitrary utility functions that may include tolerance to delay, travel time, cost etc. In this challenge we will work with the inner loop and a static demand profile. A possible extension to dynamic demand is expected to follow in a next iteration of the challenge.
 
 The performance of AMoD systems both in terms of customer satisfaction as well as efficiency highly depends on the operational policies that guide the behavior of the fleet. Notably, there are two types of decisions that have to be made:
 
@@ -54,7 +54,7 @@ The goal of the AMoD challenges is to create an operational policy that maximize
 We have prepared AMoD scenarios in four different cities on which you can work with a fleet of virtual robotic taxis to test and develop operational policies based on artificial intelligence or other methods. A simulation includes 1 day of time-varying travel demand in congested or uncongested networks and **several 10,000 of customer requests**. The following scenarios will be available for training:
 
 
-* **San Francisco:**  this scenario represents a static demand extracted from San Francisco taxi data available online. There is a total of 23 datasets, one per day from 18th of May, 2008 to 9th of June, 2008. The linkspeeds are adapted to match the travel times shown in the dataset. The original dataset is available online at [EPFL-Mobility-Dataset](https://crawdad.org/epfl/mobility/20090224/)\cite{epflmobility}.
+* **San Francisco:**  this scenario represents a static demand extracted from San Francisco taxi data available online. There is a total of 23 datasets, one per day from 18th of May, 2008 to 9th of June, 2008. The linkspeeds are adapted to match the travel times shown in the dataset. The original dataset is available online at [EPFL-Mobility-Dataset](https://crawdad.org/epfl/mobility/20090224/)\cite{epfl-mobility-20090224}.
 * **Berlin:** the existing MATSim Open Berlin Scenario presented by [D. Ziemke and K. Nagel](https://svn.vsp.tu-berlin.de/repos/public-svn/publications/vspwp/2017/17-12/ZiemkeNagel2017BerlinScenario.pdf)\cite{ziemke2017development} and available here was altered such that all car trips now need to be served by autonomous mobility-on-demand in an efficient way. This is a very large scenario with more than 1 million of agents.
 * **Santiago de Chile:** the scenario presented in the publication by [B. Kickhöfer, D. Hosse, K. Turner and A. Tirachini](https://www.researchgate.net/profile/Benjamin_Kickhoefer/publication/306391968_Creating_an_open_MATSim_scenario_from_open_data_The_case_of_Santiago_de_Chile/links/57bc539908ae9fdf82f14fa3/Creating-an-open-MATSim-scenario-from-open-data-The-case-of-Santiago-de-Chile.pdf)\cite{kickhofer2016creating} was altered such that all public transportation and ``colectivo'' trips now have to served efficiently with a fleet of robotic taxis. 
 * **Tel Aviv:** The travel demand in this scenario is created based on the Israel National Travel Habits Survey from 1996. It was published by [G. Ben-Dor, B. Dmitrieva, M. Maciejewski, J. Bischoff, E. Ben-Elia, and I Benenson](http://transp-or.epfl.ch/heart/2017/abstracts/hEART2017_paper_110.pdf)\cite{TelAvivMatsim}. The entire transportation demand (both public and private transportation) needs to be served with a fleet of autonomous vehicles.

diff --git a/book/AIDO/10_motivation/Mendeley_IDSC-Frazzoli.bib b/book/AIDO/10_motivation/Mendeley_IDSC-Frazzoli.bib
@@ -1,5 +1,23 @@
+@misc{epfl-mobility-20090224,
+    author = {Michal Piorkowski and Natasa Sarafijanovic-Djukic and Matthias Grossglauser},
+    title = {{CRAWDAD} dataset epfl/mobility (v. 2009-02-24)},
+    howpublished = {Downloaded from \url{https://crawdad.org/epfl/mobility/20090224}},
+    doi = {10.15783/C7J010},
+    month = feb,
+    year = 2009
+}
+
+
+
+@book{horni2016multi,
+  title={The multi-agent transport simulation MATSim},
+  author={Horni, Andreas and Nagel, Kai and Axhausen, Kay W},
+  year={2016},
+  publisher={Ubiquity Press London}
+}
+
 @InProceedings{AMoDeus-BASE,
-  author    = {H{\"o}rl, Sebastian and Ruch, Claudio and Frazzoli, Emilio},
+  author    = {Ruch, Claudio, H{\"o}rl, Sebastian and and Frazzoli, Emilio},
   title     = {AMoDeus, a Simulation-Based Testbed for Autonomous Mobility-on-Demand Systems},
   booktitle = {Proc. 21th IEEE Conf. Intelligent Transportation Systems},
   year      = {2018},