gps_noise 
GPS noise value (in meters) to remove redundant sample points. Use 1 to disable noise reduction. The default value accounts for 95% of point variation (+ or 5 meters). The default value is '5.0'. 
num_segments 
Maximum number of potentially matching road segments for each sample point. For the markov_chain solver, the default is 3. The default value is '3'. 
search_radius 
Maximum search radius used when snapping sample points onto potentially matching surrounding segments. The default value corresponds to approximately 100 meters. The default value is '0.001'. 
chain_width 
For the markov_chain solver only. Length of the sample points lookahead window within the Markov kernel; the larger the number, the more accurate the solution. The default value is '9'. 
source 
Optional WKT starting point from input parameter sample_points for the solver. The default behavior for the endpoint is to use time to determine the starting point. The default value is 'POINT NULL'. 
destination 
Optional WKT ending point from input parameter sample_points for the solver. The default behavior for the endpoint is to use time to determine the destination point. The default value is 'POINT NULL'. 
partial_loading 
For the match_supply_demand solver only. When false (nondefault), trucks do not offload at the demand (store) side if the remainder is less than the store's need The default value is true.
Supported
Values 
Description 
true 
Partial offloading at multiple store (demand) locations 
false 
No partial offloading allowed if supply is less than the store's demand. 

max_combinations 
For the match_supply_demand solver only. This is the cutoff for the number of generated combinations for sequencing the demand locations  can increase this up to 2M. The default value is '10000'. 
max_supply_combinations 
For the match_supply_demand solver only. This is the cutoff for the number of generated combinations for sequencing the supply locations if/when 'permute_supplies' is true. The default value is '10000'. 
left_turn_penalty 
This will add an additonal weight over the edges labelled as 'left turn' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'. 
right_turn_penalty 
This will add an additonal weight over the edges labelled as' right turn' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'. 
intersection_penalty 
This will add an additonal weight over the edges labelled as 'intersection' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'. 
sharp_turn_penalty 
This will add an additonal weight over the edges labelled as 'sharp turn' or 'uturn' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'. 
aggregated_output 
For the match_supply_demand solver only. When it is true (default), each record in the output table shows a particular truck's scheduled cumulative round trip path (MULTILINESTRING) and the corresponding aggregated cost. Otherwise, each record shows a single scheduled truck route (LINESTRING) towards a particular demand location (store id) with its corresponding cost. The default value is 'true'. 
output_tracks 
For the match_supply_demand solver only. When it is true (nondefault), the output will be in tracks format for all the round trips of each truck in which the timestamps are populated directly from the edge weights starting from their originating depots. The default value is 'false'. 
max_trip_cost 
For the match_supply_demand and match_pickup_dropoff solvers only. If this constraint is greater than zero (default) then the trucks/rides will skip travelling from one demand/pick location to another if the cost between them is greater than this number (distance or time). Zero (default) value means no check is performed. The default value is '0.0'. 
filter_folding_paths 
For the markov_chain solver only. When true (nondefault), the paths per sequence combination is checked for folding over patterns and can significantly increase the execution time depending on the chain width and the number of gps samples. The default value is false.
Supported
Values 
Description 
true 
Filter out the folded paths. 
false 
Do not filter out the folded paths 

unit_unloading_cost 
For the match_supply_demand solver only. The unit cost per load amount to be delivered. If this value is greater than zero (default) then the additional cost of this unit load multiplied by the total dropped load will be added over to the trip cost to the demand location. The default value is '0.0'. 
max_num_threads 
For the markov_chain solver only. If specified (greater than zero), the maximum number of threads will not be greater than the specified value. It can be lower due to the memory and the number cores available. Default value of zero allows the algorithm to set the maximal number of threads within these constraints. The default value is '0'. 
service_limit 
For the match_supply_demand solver only. If specified (greater than zero), any supply actor's total service cost (distance or time) will be limited by the specified value including multiple rounds (if set). The default value is '0.0'. 
enable_reuse 
For the match_supply_demand solver only. If specified (true), all supply actors can be scheduled for second rounds from their originating depots. The default value is false.
Supported
Values 
Description 
true 
Allows reusing supply actors (trucks, e.g.) for scheduling again. 
false 
Supply actors are scheduled only once from their depots. 

max_stops 
For the match_supply_demand solver only. If specified (greater than zero), a supply actor (truck) can at most have this many stops (demand locations) in one round trip. Otherwise, it is unlimited. If 'enable_truck_reuse' is on, this condition will be applied separately at each round trip use of the same truck. The default value is '0'. 
service_radius 
For the match_supply_demand and match_pickup_dropoff solvers only. If specified (greater than zero), it filters the demands/picks outside this radius centered around the supply actor/ride's originating location (distance or time). The default value is '0.0'. 
permute_supplies 
For the match_supply_demand solver only. If specified (true), supply side actors are permuted for the demand combinations during msdo optimization  note that this option increases optimization time significantly  use of 'max_combinations' option is recommended to prevent prohibitively long runs The default value is true.
Supported
Values 
Description 
true 
Generates sequences over supply side permutations if total supply is less than twice the total demand 
false 
Permutations are not performed, rather a specific order of supplies based on capacity is computed 

batch_tsm_mode 
For the match_supply_demand solver only. When enabled, it sets the number of visits on each demand location by a single salesman at each trip is considered to be (one) 1, otherwise there is no bound. The default value is false.
Supported
Values 
Description 
true 
Sets only one visit per demand location by a salesman (tsm mode) 
false 
No preset limit (usual msdo mode) 

round_trip 
For the match_supply_demand solver only. When enabled, the supply will have to return back to the origination location. The default value is true.
Supported
Values 
Description 
true 
The optimization is done for trips in round trip manner always returning to originating locations 
false 
Supplies do not have to come back to their originating locations in their routes. The routes are considered finished at the final dropoff. 

restricted_type 
For the match_supply_demand solver only. Optimization is performed by restricting routes labeled by 'MSDO_ODDEVEN_RESTRICTED' only for this supply actor (truck) type The default value is none.
Supported
Values 
Description 
odd 
Applies odd/even rule restrictions to odd tagged vehicles. 
even 
Applies odd/even rule restrictions to even tagged vehicles. 
none 
Does not apply odd/even rule restrictions to any vehicles. 

server_id 
Indicates which graph server(s) to send the request to. Default is to send to the server, amongst those containing the corresponding graph, that has the most computational bandwidth. The default value is ''. 
inverse_solve 
For the match_batch_solves solver only. Solves sourcedestination pairs using inverse shortest path solver. The default value is false.
Supported
Values 
Description 
true 
Solves using inverse shortest path solver. 
false 
Solves using direct shortest path solver. 

min_loop_level 
For the match_loops solver only. Finds closed loops around each node deducible not less than this minimal hop (level) deep. The default value is '0'. 
max_loop_level 
For the match_loops solver only. Finds closed loops around each node deducible not more than this maximal hop (level) deep. The default value is '5'. 
search_limit 
For the match_loops solver only. Searches within this limit of nodes per vertex to detect loops. The value zero means there is no limit. The default value is '10000'. 
output_batch_size 
For the match_loops solver only. Uses this value as the batch size of the number of loops in flushing(inserting) to the output table. The default value is '1000'. 
charging_capacity 
For the match_charging_stations solver only. This is the maximum evcharging capacity of a vehicle (distance in meters or time in seconds depending on the unit of the graph weights). The default value is '300000.0'. 
charging_candidates 
For the match_charging_stations solver only. Solver searches for this many number of stations closest around each base charging location found by capacity. The default value is '10'. 
charging_penalty 
For the match_charging_stations solver only. This is the penalty for full charging. The default value is '30000.0'. 
max_hops 
For the match_similarity solver only. Searches within this maximum hops for source and target node pairs to compute the Jaccard scores. The default value is '3'. 
traversal_node_limit 
For the match_similarity solver only. Limits the traversal depth if it reaches this many number of nodes. The default value is '1000'. 
paired_similarity 
For the match_similarity solver only. If true, it computes Jaccard score between each pair, otherwise it will compute Jaccard from the intersection set between the source and target nodes The default value is true. The supported values are:
