Planning a Capacitated Road Network with Flexible Travel Times: A Genetic Algorithm

2015 ◽  
Vol 14 (4) ◽  
pp. 425-451
Author(s):  
Saber Shiripour ◽  
Nezam Mahdavi-Amiri ◽  
Iraj Mahdavi
Keyword(s):  
Genetic Algorithm ◽  
Road Network ◽  
Travel Times

Optimizing road network daily maintenance operations with stochastic service and travel times

2014 ◽  
Vol 64 ◽  
pp. 88-102 ◽  
Author(s):  
Lu Chen ◽  
Minh Hoàng Hà ◽  
André Langevin ◽  
Michel Gendreau
Keyword(s):  
Road Network ◽  
Travel Times

Optimal Placement of Reservation-Based Intersections in Urban Networks

2019 ◽  
Vol 2673 (10) ◽  
pp. 781-792
Author(s):  
Rahul Patel ◽  
Prashanth Venkatraman ◽  
Stephen D. Boyles
Keyword(s):  
Genetic Algorithm ◽  
Traffic Control ◽  
Autonomous Vehicles ◽  
Large City ◽  
Ranking Method ◽  
Optimal Placement ◽  
Total System ◽  
Travel Times ◽  
Urban Networks ◽  
High Performing

Reservation-based traffic control is a revolutionary intersection management system which involves the communication of autonomous vehicles and an intersection to request space-time trajectories through the intersection. Although previous studies have found congestion and throughput benefits of reservation-based control that surpass signalized control, other studies have found negative impacts at peak travel times. The main purpose of this paper is to find and characterize favorable mixed configurations of reservation-based controls and signalized controls in a large city network which minimize total system travel times. As this optimization problem is bi-level and challenging, three different methods are proposed to heuristically find effective mixed configurations. The first method is an intersection ranking method that uses simulation to assign a score to each intersection in a network based on localized potential benefit to system travel time under reservation control and then ranks all intersections accordingly. The second is another ranking method; however, it uses linear regression to predict an intersection’s localized score. Finally, a genetic algorithm is presented that iteratively approaches high-performing network configurations yielding minimal system travel times. The methods were tested on the downtown Austin network and configurations found that are less than half controlled by reservation intersections that improve travel times beyond an all-reservation controlled network. Overall, the results show that the genetic algorithm finds the best performing configurations, with the initial score-assigning ranking method performing similarly but much more efficiently. It was finally find that favorable reservation placement is in consecutive chains along highly trafficked corridors.

scholarly journals Pavement Maintenance Optimization Strategies for National Road Network in Indonesia Applying Genetic Algorithm

2017 ◽  
Vol 210 ◽  
pp. 253-260 ◽  
Author(s):  
Hamdi ◽  
Sigit P. Hadiwardoyo ◽  
A. Gomes Correia ◽  
Paulo Pereira
Keyword(s):  
Genetic Algorithm ◽  
Road Network ◽  
Maintenance Optimization ◽  
Pavement Maintenance ◽  
National Road

Transit network design using a genetic algorithm with integrated road network and disaggregated O–D demand data

2019 ◽  
Author(s):  
Pierre-Léo Bourbonnais ◽  
Catherine Morency ◽  
Martin Trépanier ◽  
Éric Martel-Poliquin
Keyword(s):  
Genetic Algorithm ◽  
Network Design ◽  
Road Network ◽  
Transit Network ◽  
Transit Network Design
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